Illuminating Data

I L L U M I N AT I N G DATA A light ins tallation on mobile communic ation by I n g r id H e r ig s t a d M o na K leve n L au r i t ze n

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D I PLO M A

S U PE R V I S O R S

CO L L A B O R ATO R

C A N D I DAT E S

Mosse Sjaastad

The Telenor Group

Mona Kleven Lauritzen

Einar Sneve Martinussen

DUDE Reasearch Team

Ingrid Herigstad

Nicholas Stevens

via Thomas Couronne

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I L L U M I N AT I N G DATA A light installation on mobile communication

Spring 2014 Interaction Design Diploma Project The Oslo School of Architecture and Design

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CONTENTS 2

RESEARCH Research 18 History of telecommunication

20

Networks and ties

22

Cards 30

3

Study trip

32

Mini Diploma

49

People and technology

34

Working with CDR data

51

Experience Design

34

Plotting and reading data

52

“Digital detox�

35

Findings in the CDR data

53

Introduction 10

Immersive experiences

35

Making a prototype

54

Contribution 12

Public space

35

Learning outcomes

54

Telenor Group

Building an experience

36

Brief 14

Engage the audience

37

Koydon 56

Motivation 14

Learning outcomes

37

Large scale building

56

Learning outcome

56

Things to consider

58

Online/offline 25 When do we communicate?

1

INTRODUCTION

14

25

Lie Factor

26

Take home message

29

Data 15 Context 15

State of the Art

38

E X P L O R AT I O N

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6

DATA & C O N C E P T

PROTOT YPE

Data : Behavior

62

MLP Data

64

Decisions 124

Device Analyzer

66

Context 126

CDR Data

68

Acrylic and light

129

Testing / building

130

Workshop 70

Material specs

134

Workshop program

70

Modules and joints

138

Learning outcomes

72 Production

140

Technical details: Poplar

140

Early Directions

74

Behaviors and relationships

74

Online / Offline lives

74

Positional Patterns

75

Sketching 78 Data analytics

80

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Assembly 146 Assembly of physical structure 147 Hardware 148

MOCKUPS

Software 150 Initial testing

152

Materials 102 Circular Light Mockups

104

Final demo

154

Light painting

106

“User Testing�

156

Presumptions 82

Neopixel LED Strip

108

Exhibition Guidelines

160

Questionnaire 84

Scale mockup

110

Non-linear narrative

164

Rhythmic patterns

88

Kinetic pantyhose

112

Flow 166

Phone calls hourly

91

Selected days hourly

92

With data

Who is calling?

94

Acrylic engraving

116

References 172

Levels in data

96

Logarithmic perception

118

Digital appendix

173

A Circular Structure

96

Light Intensity

120

Thank you

175

CDR Data

82

Functioning prototype

168

114

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01 02 03 04 05 06 INTRODUCTION

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INTRODUCTION

INTRODUCTION This diploma project explores tangible visualisation of big data.

In collaboration with The Telenor Group the outcome of this diploma is a simplified demonstration exploring one way of visualising data physically through light that is possible to expand and explore further. It demonstrates Telenor customers’ phone call activity and pattern over the course 24 hours for 365 days (2013) Based on a large Call Detail Record data set collected in 2013 anonymously from 2.1 million of Telenor’s mobile subsribers in Norway. This data is displayed in a circular structure divided into four parts for each quarter of the year, with one acrylic rod dynamically displaying 24 hours of data for each day of the year. Weekly regular patterns are very easy to perceive as well as one particular day that stands out, the 9th of September, when there was a parliamentary election in Norway.

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04:00 September 9th 2013

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INTRODUCTION

Contribution Our contribution is two-fold. The first contribution is generating an interest at Telenor for information design and co-creation workshops as well as working with ways to explain a complex data set. The second contribution is to illustrate how data can be displayed physically through light in acrylic.

This diploma project advances our understanding of light as a medium to communicate data. The fluctuations in the data set were sufficient for visualisation and the patterns were different from how the people we spoke to thought they would be. By using data on hourly phone call activity from 2.1 million users all across Norway in 2013, provided by the Telenor Group, we were able to look into national patterns of mobile communication.

Our research is based on interviews, a co-creation workshop and theory of visualisations and communication. We explored the data in a computer environment to find/identify interesting angles for visualisation/interpretation. Once we were familiar with the data we explored the most interesting layers theoretically and by using light.

The findings from this project show that using light to display data attracts attention and creates a holistic feeling of patterns that is not achievable with a graphic display.

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INTRODUCTION

“Lux”

“Designing with light”

V

LIGHT

ION AT S I L UA IS

DA TA

HAPTICS

Workshops

EMOTION

Experimentation

Online research

“The strength of weak ties”

“Alone together”

“Embodied experiences” “Arduino cookbook”

PTIO N

“Data visualizations”

“Visualizing data”

Workshops

ER

CE

“Sensorium”

EXPE

RIE N C

E/

P

Tangible interactions / Screens

“The nature of code”

“Processing”

“Beautiful evidence”

“The visual display of quantitative information”

STO RY T

“Envisioning information”

G LIN EL

“Visual storytelling”

“Theatre, performance and analogue technology”

Collaboration with Telenor

FOCUS AREAS We have througout the diploma project looked into different aspects that plays a part when creating a light installation communicating data, both theory related to the content and to the building of installations. Some things took longer time than initially thought, while others proved not to be as important. This visualisation represents the time spent researching and executing the differnet parts.

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INTRODUCTION

Telenor Group The Telenor Group, via Thomas Couronne and his “DUDE�

(Data Understanding through Design) research project, approached us wanting to get more insight and learn about design driven processes towards working with data. Telenor would like to exhibit our work at the Telenor Headquarters at Fornebu, and it may also be presented at an international venue at a later stage.

Brief Make a prototype of a display system with lights visualising telecom data physically.

Motivation The Telenor research team presented us with a open brief, which gave us the opportunity to take the data visualisation in the direction that we considered the most interesting. Having done the course Tangible Interactions, and a data visualisation module in the course Screens at AHO, we were drawn to combining physical computing and lights with data visualisation.

The Tangible Interactions course provided a brief introduction to physical computing and lights, and the direction of the present project was partly chosen to expand on this training, to test and push our abilities as designers, and to increase our undersanding and experience working with a large data set with back-end support from which we would not otherwise benefit. With Telenor as our sponsor, we were able to work with data on a much larger scale than would otherwise be possible.

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INTRODUCTION

Roles INGRID & MONA We have worked with the design aspect of the project, ideation, making decisions, developing concept, exploring the data visually, as well as the physical building of structure and hardware. As part of this process, we have also been responsible for presenting our ideas clearly to the developers at AHO, Nick Stevens and Hans Jakob Føsker as well as the data analysts at Telenor.

TELENOR We have had weekly meetings with a research team at Telenor exchanging ideas and learning and getting feedback on what was possible given the data set. The data analysts did the back-end and preparation of data sets for us to use.

N I C K S T E V E N S & H A N S JA KO B F Ø S K E R We had help from our supervisor Nick Stevens and former AHO-student Hans-Jakob Føsker to write the code needed for the physical display in Processing and Arduino. Hans Jakob also wrote a code that allowed us to manipulate lights manually with data.

Data Telenor allowed us to choose between three data sets to explore in the project. CDR , MLP and Device Analyzer. The data sets are explained in detail on pages 62-67.

Context This diploma project is set in the context of a public space, it started with a desire to incorporate our work at a festival or in a public space, but it became apparent further into the project that a more plausible venue would be AHO-Works and later the Telenor Headquarters at Fornebu.

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01 02 03 04 05 06 RESEARCH

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INSIGHT & RESEARCH

RESEARCH

Our thesis is based on Telenor’s data on mobile communication, and communication between people therefore creates the framework for our diploma project. The data can reveal when we communicate, where we communicate and how often we communicate with each other.

Telenor briefed us on three types of data sets (see p.60-65) and keeping these possibilities in mind, we endeavoured to explore the ways in which we communicate digitally, how communiation ties us together in different ways, and how assumptions can be made as to whom, when and where we call. We have also looked at people’s relationship with their digital devices and how technology, and especially the arrival of the Smartphone, has changed our communication with each other and our experience of technology. We investigated what is considered best-practice with regards to displaying information as well as previous solutions, within and outside our chosen field of mobile communication both in, 2D and 3D. Lastly we have researched and talked to professionals about how to create an experience displaying data physically.

From our research we narrowed down three fields of data exploration that we found interesting: networks and ties between people, social lives through communication and the time and situations in which we communicate.

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INSIGHT & RESEARCH

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INSIGHT & RESEARCH

Briefly on the history of telecommunication The first phone call in Norway was made in 1876. In 1920 the process of automating phone calls was started, but it was not until the 1980s that the process of national automation was completed. Norway’s first mobile network was established in 1966, this also with a manual connection of calls. In 1981, as the first of its kind in the world, Norway established an automatic mobile network: NMT. This was substituted for a global mobile network, GSM, in 1993. (Anon, 2015) Since the mobile phone became a common commodity in the late 90s, there has been a rapid growth of technology related to telecommunication, both the development of more advanced phones to the services provided for them. Today, the majority effectively carry a small computer that we also happen to be able to make calls from, rather than the designated calling-devices of the past.

This has of course changed the ways in which we communicate. We are avaliable for communication at most times, as well as having a lot of options as to which way we want to communicate, either through phone calls, sms, messaging apps or online calls. Different types of conversations might require different communication platforms. A study done

by Telenor Research shows that the digital frontrunners of Sweden and Malaysia still regard phone calls as the preferred means to communicate sensitive and urgent information.

For the casual conversations messaging-apps ranks highest.

(Telenor Group, 2015)

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INSIGHT & RESEARCH

“He never, ever texts you back.

Ranging different mediums of communication on a scale has

Maybe I should call him? I mean, didn’t

been attempted several times. An informal ranking was done

you say texting is, like, the lowest form

in HBOs hit-series “Girls”, illustrated by the ‘Totem of Chat’

of communication on the pillar of chat?

above. In this, the different forms of communication was

The totem of chat. And no, the lowest:

scaLED according to their level of trustworthiness. In recent

that would be Facebook, followed by

years, with the rise of the smartphone, we have increas-

Gchat, then texting, then email, then

ingy communicated via text: first sms, then social media

phone. Face to face is, of course, ideal,

and messaging apps. Text-based communication allows for

but, it’s not of this time”

a mental preparation as to how you are going to respond, allowing insecure people to become more secure in commu-

-“Girls” on HBO

nicating with other people. Communication via images emerged, and with it the practice of building a personal facade on services such as Instagram. A later development is Snapchat, which offers the opportunity for immediate, intimate and unfiltered communication.(Panzarino, 2015) With all these alternative ways of communication, and the way research points to apps and messaging taking over specific parts of our communication, it makes it easier to assume what kind of communication we do through calls. As opposed to just two decades ago when all types of digital communication went exclusively through phone calls

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INSIGHT & RESEARCH

Networks and ties between

B

C

people The previous section outlined how we communicate, but

Granovetter states that it has been empirically prove that the

what can this communication reveal? With Telenors data we

stronger the tieconnecting two individuals, the more similar

have no way of knowing of what is being said, only when and

they are. If A have strong ties to both B and C, then both C

where people are communicating, as well as to whom they are

and B will likely be similar to A and to eachother, increasing

speaking. What this type of data can suggest is the strength

the likelihood of a friendship between them.

of the digital ties between people. Ties can be divided into strong and weak ones, and the spread of information through networks depends on the strength of ties.

STRONG TIE

WEAK TIE

The only tie that links two groups together is calLED a bridge.

The article “The strength of weak ties” by Mark S. Granovet-

A bridge can only be a weak tie, since it is defined by the

ter explains in a clear way how we assume that strong ties

hypothesis above that if one person have a strong tie to two

are the most important when it comes to spreading infor-

individuals, they themselves are likely to have a tie between

mation, but weak ties are just as, or even more important. A

them.

tie represents the connection between people defined by a combination of the amount of time spent together along with the emotional intensity between two people. In his article, Granovetter argues that the strength of the tie is in relation to the amount of mutual friends that they have. And the stronger the tie, the more likely they are to have common friends.

A

B

A

C

B

This means that information can reach more people, and cover C

greater social distance when passed through weak ties rather than strong. “If one tells a rumor to all his close friends, and

A+B AND A+C= B+C

they do likewise, many will hear the rumor a second and third

A and B and A and C are friends. If the relationship with both

time, since those linked by strong ties tend to share friends.

B and C is strong, it is likely that B and C will be brought into

If the motivation to spread the rumor is dampened a bit on

interaction with eachother, making it possible that they will

each wave of retelling, then the rumor moving through strong

develop a friendship themselves.

ties is much more likely to be limited to a few cliques than that going through weak ones; bridges will not be crossed.”

(Granovetter, 1983)

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INSIGHT & RESEARCH

We spoke to Rich Ling, professor at the IT University of Copenhagen, Denmark, and sociologist at the Telenor research institute. He has been researching social structures in society based on telecommunications data for the past thirteen years. He explained how it is possible to make assumptions on people’s relationships based on basic marketing demographics and their communications data. For example, you may assume that two people of different gender that frequently have the same geo-positioning and a certain communications pattern are married. Also, the bond between a married couple grows weaker as their ties to different social spheres become stronger.

Predicting the strength of the connections visible to us would be valuable for a visualisation. Predicting the strength of the connections visible to us is an exciting and novel opportunity, made possible through Telenor’s data, and for this purpose the CDR data set would be the most relevant, since it gives us the chance to look at the connections between almost half of the population of Norway. Though encrypted, one would technically also be able to discern people of importance such as ambassadors, politicians and key figures in the Norwegian society (if they are Telenor users). Not only can you see the how we are knitted together in a web of digital networks, you can also get an understanding of who are the most influential people are, the ones with ties to the most networks. Adding a data set with more parameters, such as the Device Analyzer data set, one can also look at the spread of innovation, such as the spread of a new app being downloaded, or the popularity of a new nightclub/store/etc.

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INSIGHT & RESEARCH

Life with our devices “Humans shape technology, but [...] Technologies can also help to shape human ways of knowing (epistemology) and by extension our ways of being (ontology).”

(Reilly 2013, p. 2) Almost wherever you go you can see people communicating

How does the communication in virtual space affect the

through their phones. With telecommunication data as our

communication in real life? When we are having a conversa-

basis we wanted to look into how this digital communication

tion with eachother we are constantly available for communi-

affects our social lives.

cation with the (sometimes) hundreds of people that reside in our phone through contacts and social media. If a notification

People put a lot of their lives into their mobile devices.

rings out the chances are high that the owner of the phone

Many of the things we use on a day-to-day basis are grad-

will be tempted to check what it was about. This makes all

ually becoming available on smart phones only. An example

spaces social arenas, as Sherry Turkle writes: “In this new

of this is the ticket-app for Ruter, Oslos public transporter.

regime, a train station (like an airport, a café, or a park) is

Our smart phones are even becoming digital wallets, with

no longer a communal space but a place of social collection:

for example Google Wallet and Apple Pay which allows the

people come together but do not speak to each other. Each

user to. These practical applications as well as the growing

is tethered to a mobile device and to the people and places

desire to be available on social platforms either for commu-

to which that device serves as a portal. “

nication with others or for broadcasting your own life makes your smart phone an increasingly important part of your life,

Constantly checking your phone or communication outward

one that you carry with you at all times.

when with someone migth be considered rude, but when alone, wither waiting, in transit or being bored, checking

The smartphone not only becomes a ticket and a wallet, but

your smartphone for e-mails, texts and messages is socially

also the portal to our virtual life. Social media creates a virtual

accepted, and something a lot of people do.

space in which people can convey an edited version of themselves. Wanting to tailor the way we are perceived by others

Linking what you do on your phone with another parameter

in social media can affect how we want others to perceive

such as time or space can aid in making assumptions as to

us through our other communication. All types of commu-

what that person was doing, what interests the person has or

nication that is not face to face, phone calls or video calls

other aspects of their life. But with this you have to be aware

allows people to weigh their words and take time to edit their

that it can only remain speculative and be careful as to not

response.

make spurious correlations, linking together two parameters that appears to coincide, but is not nessecarily linked in any

“When part of your life is lived in virtual places—it can be

way.

Second Life, a computer game, a social networking site—a vexed relationship develops between what is true and what is ‘true here’, true in simulation.

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INSIGHT & RESEARCH

Online/offline With digital devices we’re always “on”. Could we see differences in online / offline lives in Telenor’s data? There are two ways this research could go, either to look at ways in which people are physically together but communication outwards with other people. For this purpose it would be the most relevant to use the CDR data set, since it gives us the most users as well as the fact that the user does not need to sign up in advance as the Device Analyzer and MLP requires.

This could be interesting to combine with ties to see if the strength of the tie between people defines affects the desire to communicate outwards while together. The other direction this could go is to interpret offline behaviors from the data based on their online lives. Make assumptions of a person’s life based on their communication, their apps, who they talk to and where they are located. For this direction the Device Analyzer would be the only possibility, since we would need access to information on apps to be able to make as specific assumptions as possible on peoples digital life.

When do we communicate?

The first part of our research has focused a lot on the personal aspect of mobile communication. The last direction we looked into is what makes us communicate, do we have patterns as to when and why we communicate as a bigger group. What makes someone pick up their phone and call or message someone. Are there specific times during the day or week that we are more likely to reach out to eachother?

What kind of unique occurrences makes us want to have a conversation?

For exploring group behavior we would need to work with the CDR data set with its 2.1 million users. This data set also offers the largest time-frame since the data was collected throughout an entire year.

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Graphic display of information Even though we early decided not to use screens to convey the information on the data, it was important for us to research some key principles of traditional, graphical display of information.

Edvard Tufte is a well renowned name when it comes to this field, therefore we focused our attention on his books in which he has defined some guidelines both as to selecting and presenting data. We would keep this knowLEDge in mind, but not as a blueprint, when we did further research online on existing solutions in information displays, as we will go further into in the chapter “State of the art�, as well as during the development of our final concept.

Lie Factor When making a graphic display of information using shapes, it is for many tempting to enhance the differences between the data being shown through the visuals to fit the visual theme This is calLED the lie factor. The formula for calculating this is: Lie factor = size of effect shown in graphic / size of effect shown in data, where size of effect= (second value - first value) / first value You end up with a number which represents the lie factor.

This number should lie between 0.95 and 1.05 to ensure the reliability of a graphic. (Infovis-wiki.net, 2015) As explained earlier, most data sets have blank spaces in them due to the way data is collected. Our data sets were no exeption, and although it is tempting to not include the blank spaces, or fill them with something, we made the desicion not to modify anything.

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G R A PH I C A L E XC E L L E N C E “Graphical Excellence is that which

1. Make the viewer think about the substance rather than

gives to the viewer the greatest

about methodology, graphic design, technology of graphic

number of ideas in the shortest

production, or something else.

amount of time with the least ink in the smallest space.” (Tufte 1983, p. 51)

2. Avoid distorting what the data have to say 3. Present many numbers in a small space 4. Make large data sets coherent 5. Encourage the eye to compare different pieces of data 6. Reveal the data at several levels of detail, from a broad overview to the fine structure 7. Serve a reasonably clear purpose: description, exploration, tabulation, or decoration 8. Be closely integrated with the statistical and verbal descriptions of a data set

PR I N C I PL E S O F A N A LY T I C A L D E S I G N “...graphics had to be ‘alive’, ‘commu-

1. Show comparisons, contrasts and differences. Make intelli-

nicatively dynamic’, over decorated

gent and appropriate comparisons. (Tufte 1990, p. 127)

and exaggerated (otherwise all the

2. Causality, Mechanism, Structure and Explanation. Show

dullards in the audience would fall

cause and effect. (Tufte 1990, p. 128)

asleep in the face of those boring

3. Multivariate Analysis. Show the dimensions with distinct

statistics).” (Tufte 1983 p. 53)

clarity. (Tufte 1990, p. 129) 4. Integration of evidence. Completely integrate words, numbers, images and diagrams. “A deeper understanding of human behavior may well result from integrating a diversity of evidence, whatever it takes to explain something. Like good information displays, explanatory investigations, if they are to be honest and genuine, must seek out and present all relevant evidence regardless of mode.” (Tufte 1990, p.131 5. Documentation. “What is the display about? Who did the work? Who’s that? Where and when was the work done? What are the data sources? Any assumptions? What are the scales of measurement? Who published and printed the work?”

“Thoroughly describe the evidence. Provide a detaiLED title, indicate the authors and sponsors, document the data sources, show complete measurement scales, point our relevant issues.”(Tufte 1990, p. 132)

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Visual perception Because we decided to have light as our main medium and communicator of information, we had to investigate how humans read and perceive differences in light.

Our senses are constantly bombarded with input, yet we only perceive parts of it. Humans perceive light logarithmically and relatively. Plainly speaking it is an automatic process that happens in our brains to simplify the information brought to us by our senses minimising the chance of an error occuring on the way from the sensory experience to our brain. This means that the sensitivity towards small changes decreases as the sensory input increases. With light we can plainly see the nuances of the lower scale when dimming a light than when it reaches higher light strength, even though the absolute changes in light strenght are the same. (McLeod, 2015) This is something that we would have to take into consideration when starting to test with light.

signal

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Take home message Assessment of the theory Working on this scale and with the chosen theme was relatively unexplored territory for us, and we therefore deliberately a comprehensive approach to our research research.

Although not all that we learned ended up being used in the final concept, we felt that we gained a range of interesting perspectives to keep in mind throughout the process.

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Cards We made polaroid-sized cards for all types of light sources we could think of. We also made cards on light-modifiers, places, audiences and data-types.

The aim was to use these cards for forced associations in a workshop-context. We used the cards in a workshop we had at Telenor to obtain a better understanding of their data sets, as well as during the project development process as a tool to get into the right mindset, being able to broaden our imaginations, for ideation and for creating a rich design space.

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S TUDY TR I P

We travelled to London to obtain input on processes and methods related to installations, data, light and the public space either separately or in combination. We made an itinerary to meet with creatives and developers who were working on related topics.

We regard this trip as part of our research.

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The void between people and technology Jon Hall, Director of Linux, gave a talk at Cisco. He explained how there is an increasing interest in modifiable hardware such as the Raspberry Pi and Arduino, as well as websites dedicated to giving ordinary people insights and basic knowLEDge into coding, such as codecademy, a tutorial based online learning platform. This shows that there is a increasing interest in physical computing. As people are getting more interested in what lies beneath the interface and the cause and effects in that system they might also be interested in learning more about the system of big data, and how they as consumers play a part in that. (Hall 2015)

Technology Will Save Us The design-agency Technology Will Save Us addresses the distance created between people and technology. They sell small kits for making everyday gadgets and technology The kits created by Technology Will Save Us have become very popular, especially amongst children, shows that “digital natives”, who has never experienced a world without internet or smartphones, has an interest in understanding and mastering the technology that surrounds us and that we rely on so much. (Hirchmann 2015)

Experience Design When it comes to experiences we expect more and more, and it’s easier, faster, to develop an experience on a phone and reach out to more people than in real life. This was debated at the panel discussion Fashion LED Digital Innovation hosted by #cult hosts at Conde Nast College in London. Jonathan Chippindale, CEO of Holition, augmented retail, argued that the format of the screen is getting boring. The screen creates a distance between the audience and the experience, and with the emerging Internet of Things and ubiquitous computing there is an increasing focus on creating tangible experiences as a commercial advantage and a way for businesses to differentiate themselves from the competition.

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“Digital detox” Caroline Till, co-founder of Franklin Till coined the term “The rise of the experience junkie” as a way to describe the increasing importance experiences play in our lives rather than products. She said that there is a behavior shift from wanting to purchase products towards purchasing experiences. We seek experiences that move us, often with interactions that tweaks something that you already know and takes you out of your comfort zone. The term “Digital detox” is used to describe this need for real-world experiences.

Immersive, multisensory experiences After the digital revolution, which has been going on for the past fifty years, there was bound to be a counter-reaction.

This has taken the form of wanting the interactions to be more than swiping on a screen, we seek the tactile stimulation and a challenging of our senses. So, we as designers have to shift our focus from thinking function to thinking about the experience a product or service offers. We want people to embed themselves in what we create, people “It happens on a show that

should, instead of saying “I went to the theatre last night”,

someone shows me an iPad, we’re

say “This happened to me last night” An example of this is

looking down, when we should

the secret cinema presents Back to the Future, where physical

be looking up at the architecture!

space, props, light and sound was used to recreate the movie

Why has an architect created

where people could walk around themselves, discover and

a beautiful show when we’re

have their own unique experience. (Till 2015)

having a one-to-one conversation looking down at the floor? We could have been having the same

Public space

conversation sitting on a park

Even though we sometimes want to avoid it, the smartphone

bench somewhere!”

has blended into our lives and thus changed the way we

- Jonathan Chippindale.

behave. People are changed by the increasing use of mobile

(Drinkwater et al. 2015)

phones. It changes us personally, and the way we interact with each other both private and in public. This give us an opportunity to convey something to an audience that they can relate to. The ecosystem of the city has been disrupted by the phone, both good and bad. (Mr X Llarch Font 2015, pers. comm., 12 March)

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Humanize the information As the way the information is presented is important, the content itself is equally as important. The themes of information conveyed by electronics was discussed at the GLUG event. It was a general notion that it is important to humanize the information presented. You don’t need just another gadget that tells you how many retweets you have gotten that day, people already know this from their smartphones, you would want to tell people something that they don’t know. In a way you have to humanize the information, make the whole say more about human behavior on a whole than just talking about the individual components. (Belcher 2015)

Building an experience When it comes to experiences you want to draw the audience in. It is important that they immediately know their role and what is expected of them in the installation, whether it is as a viewer, participant or a creator. They should feel as though they are playing a part, that they are put into the situation and gain an interesting point of view and are able to relate what they are seeing/experiencing to their own life either through similarities or differences. To make it easy accessible the theme should be as simplified as possible, we should find one interesting thing and go for it. (Mr T Murray-Browne 2015, pers. comm., 11 March) To make something that people could relate to it can be useful to work around something that is typical for the demography they are a part of, either on a small scale as a part of their community or the larger demographics such as being Norwegian. When defining the narrative of the experience you want to make sure that you don’t become didactic, that you let the audience discover the content, walk around and go where they want. (Ms T Austin 2015, pers. comm., 13 March) An effective way of grabbing peoples interest is to make the experience grow: they as participants could get better, discover more, make them feel that they have a unique experience of the installation. (Mr T Murray-Browne 2015, pers. comm., 11 March)

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Engage the audience Lastly, it is highly important to define the point of the installation - what are you trying to do, what are your goals? Do we want to engage the audience in speculation or should they contribute? One way to iterate around the viewers opinion is to measure the interest during and after people are presented to the installation. This could be done in many different ways, such as measuring attendance, time of stay, comments under and after, if people are signing up to mailing lists and if they are talking about the installation through different channels. (Mr X Llarch Font 2015, pers. comm., 12 March)

Learning outcomes “What they know leads to what they do, their perception leads to what they discover”.

The counter-reaction to The Digital Revolution: still addicted to devices, but screens are getting boring.

- Tim Murray-Browne

Consumers search for experiences, not products Consider applying traditional product design methods such as having a target audience Use an entry point, an invitation to your audience for them to start interacting Let the audience discover and “co-create” the experience.

Temporary installations allows for testing flows in a public space in a way that architecture can’t.

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S TAT E O F T H E A R T We wanted to understand and get insight into what has been done with data visualisations graphically as well as with physical light installations.

The following pages describes highlights and main takeaways from our research on state of the art. We have looked into and analyzed visualizations and installations that are both 2D, 3D, non-interactive and interactive.

There has been an increase in number of companies investing in art combined with technology both in Norway as well as internationally. With computers becoming ubiquitous and the rise of internet of things many are looking at how to make tecnology and art work outside of the screen.

Internationally you have companies such as Microsoft and The New York Times who has set up physical interactive data installations. Nationally, there is Lundin Norway’s “Breaking The Surface”, a kinetic brand installation by Scandinavian Design Group in collaboration with ctrl+n, kontur, abide and intel. Bekk, the IT consultant agency, recently set up an interactive installation partly based on the company’s data to advance their competency in visualisations and interactive installations.

MIT Senseable Cities Lab and United Visual Artists (UVA) features prominently in our research as our work can be described as a mix of their work. The MIT Senseable Cities have worked a lot with phone call and GPS data from the American telecom operator AT&T have on several projects used similar data sets to those we have been given. When it comes to installations, large scale and light, UVA have worked a lot with light, including data in a few projects.

Some of the things we looked into was the sizes of the data sets used, timespan, variables, findings and interactions.

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1

2

1. N E W YO R K T I M E S’ M OVA B L E T Y PE

2. MICROSOFT’S INFINIT Y ROOM

By Ben Rubin & Mark Hansen (2007)

By Matt Pyke et al (2014)

This is a lobby installation displaying sentences and phrases

This is a physical display visualising big data, with an empha-

that have appeared in te New York Times. Having seen this in

sis on the aesthetics and the experience rather than the

real-life and it can be best described as a a dynamic non-in-

information. It’s surrounds the viewer which we think can

teractive installation with a sort of calming beat.

contribute to increased engagement.

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3

4

3 . V I L L E V I VA N T E

4 . O B A M A O N E PE O PL E

Interactive Things (2013)

MIT (2010)

This visualisation shows phone call activity over the span of

The visualisation shows phonecall activity during the week

24 hours for seven days. We think the time frame is interest-

of President Obama’s inauguration. We think it is interesting

ing and it would be interesting to see this work expanded

demonstratio of how an event can affect people’s behavior

over a larger time scale.

and show an extreme increase in activity in the visualisation.

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5 5. N YC 311 CO M PL A I N T S Pitch Interactive (2010) This visualisation is about where and when the most complaints are being made and what is the most complained about. You can learn a lot about New York by spending some time studying this visualisation.

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6

8

7

6 . F LY F I R E

7 & 8. CANOPY

MIT (2010)

United Visual Artists (2010)

This is a dynamic display system of drones. It allows for an

A static light installation of silver transparent material emits

extreme flexibility as to what can be visualised and how the

artificial light at night and reflects natural light at daytime to

information can be 3-dimensionally positioned.

resemble a canopy.

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9

9. M O N O L I T H, United Visual Artists (2006) An interactive installation where human presence changes the emotion, color and sound of the installation. It’s interesting to note how it can be perceived as a simple object from a distance, growing in complexity as you approach.

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10

10. H I G H A R C T I C United Visual Artists (2011) This was an exhibition at the National Maritime Museum in London shich employed hidden, but discoverable additional information using UV light. What is interesting about this is the interactive exploration and possibillity of finding new layers of information.

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10

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01 02 03 04 05 06 E X P L O R AT I O N

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E X P L O R AT I O N

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E X P L O R AT I O N

MINI DIPLOMA

We compiled a mini-diploma to quickly go through the entire process from deciding on a data-set, parsing the data, adding it into processing and visualizing the data physically through light with Arduino.

The focus of this part of the project was for us to build and go through the process, familiarize ourselves with data, get a realistic view on how much time the different parts of the process take and establish critical points where we might need to get technical support from Telenor. We did not intend to spend time evaluating and exploring light properties or ways of visualizing data.

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ASKER,12.13.2013 00,135,97

ARENDAL,12.13.2013 23,503,353

ARENDAL,12.13.2013 22,623,420

ARENDAL,12.13.2013 21,796,531

ARENDAL,12.13.2013 20,1036,692

ARENDAL,12.13.2013 19,1244,845

ARENDAL,12.13.2013 18,1560,974

ARENDAL,12.13.2013 17,1764,1178

ARENDAL,12.13.2013 16,2517,1609

ARENDAL,12.13.2013 15,3193,1944

ARENDAL,12.13.2013 14,3201,1900

ARENDAL,12.13.2013 13,2932,1758

ARENDAL,12.13.2013 12,2459,1497

ARENDAL,12.13.2013 11,2266,1390

ARENDAL,12.13.2013 10,2067,1250

ARENDAL,12.13.2013 09,1860,1112

ARENDAL,12.13.2013 08,1340,856

ARENDAL,12.13.2013 07,804,511

ARENDAL,12.13.2013 06,502,108

ARENDAL,12.13.2013 05,421,36

ARENDAL,12.13.2013 04,34,17

ARENDAL,12.13.2013 03,308,18

ARENDAL,12.13.2013 02,274,27

ARENDAL,12.13.2013 01,46,30

ARENDAL,12.13.2013 00,130,78

AREMARK,12.13.2013 23,21,14

AREMARK,12.13.2013 22,45,28

AREMARK,12.13.2013 21,67,50

AREMARK,12.13.2013 20,67,53

AREMARK,12.13.2013 19,75,53

AREMARK,12.13.2013 18,90,57

AREMARK,12.13.2013 17,92,68

AREMARK,12.13.2013 16,112,77

AREMARK,12.13.2013 15,154,96

AREMARK,12.13.2013 14,130,87

AREMARK,12.13.2013 13,70,55

AREMARK,12.13.2013 12,86,59

AREMARK,12.13.2013 11,81,56

AREMARK,12.13.2013 10,76,62

AREMARK,12.13.2013 09,91,61

BREMANGER,12.13.2013 01,4,4

BREMANGER,12.13.2013 00,20,16

BOKN,12.13.2013 23,41,31

BOKN,12.13.2013 22,54,46

BOKN,12.13.2013 21,90,72

BOKN,12.13.2013 20,126,101

BOKN,12.13.2013 19,142,108

BOKN,12.13.2013 18,204,153

BOKN,12.13.2013 17,249,182

BOKN,12.13.2013 16,313,212

BOKN,12.13.2013 15,341,242

BOKN,12.13.2013 14,285,203

BOKN,12.13.2013 13,249,184

BOKN,12.13.2013 12,231,164

BOKN,12.13.2013 11,210,143

BOKN,12.13.2013 10,206,140

BOKN,12.13.2013 09,200,141

BOKN,12.13.2013 08,141,95

BOKN,12.13.2013 07,84,62

BOKN,12.13.2013 06,15,14

BOKN,12.13.2013 05,6,6

BOKN,12.13.2013 04,3,3

BOKN,12.13.2013 03,2,2

BOKN,12.13.2013 02,2,2

BOKN,12.13.2013 01,5,5

BOKN,12.13.2013 00,7,6

BOD?,12.13.2013 23,601,421

BOD?,12.13.2013 22,751,534

BOD?,12.13.2013 21,1013,676

BOD?,12.13.2013 20,1345,901

BOD?,12.13.2013 19,1458,1020

BOD?,12.13.2013 18,1642,1083

BOD?,12.13.2013 17,1835,1211

BOD?,12.13.2013 16,2260,1460

BOD?,12.13.2013 15,3130,1850

BOD?,12.13.2013 14,3181,1911

BOD?,12.13.2013 13,3058,1770

BOD?,12.13.2013 12,2625,1524

BOD?,12.13.2013 11,2246,1380

BOD?,12.13.2013 10,2257,1326

BOD?,12.13.2013 09,1659,995

EVJE OG HORNNES,12.13.2013 02,2,2

EVJE OG HORNNES,12.13.2013 01,14,6

EVJE OG HORNNES,12.13.2013 00,87,19

EVENES,12.13.2013 23,64,47

EVENES,12.13.2013 22,91,68

EVENES,12.13.2013 21,114,86

EVENES,12.13.2013 20,167,121

EVENES,12.13.2013 19,242,170

EVENES,12.13.2013 18,206,146

EVENES,12.13.2013 17,252,175

EVENES,12.13.2013 16,254,168

EVENES,12.13.2013 15,316,210

EVENES,12.13.2013 14,303,204

EVENES,12.13.2013 13,265,173

EVENES,12.13.2013 12,314,206

EVENES,12.13.2013 11,257,189

EVENES,12.13.2013 10,276,181

EVENES,12.13.2013 09,186,145

EVENES,12.13.2013 08,113,85

EVENES,12.13.2013 07,46,37

EVENES,12.13.2013 06,32,28

EVENES,12.13.2013 05,12,10

EVENES,12.13.2013 04,6,6

EVENES,12.13.2013 03,5,5

EVENES,12.13.2013 02,13,5

EVENES,12.13.2013 01,2,2

EVENES,12.13.2013 00,25,20

ETNEDAL,12.13.2013 23,29,17

ETNEDAL,12.13.2013 22,53,39

ETNEDAL,12.13.2013 21,67,51

ETNEDAL,12.13.2013 20,63,48

ETNEDAL,12.13.2013 19,100,68

ETNEDAL,12.13.2013 18,87,70

ETNEDAL,12.13.2013 17,105,77

ETNEDAL,12.13.2013 16,150,103

ETNEDAL,12.13.2013 15,172,105

ETNEDAL,12.13.2013 14,166,107

ETNEDAL,12.13.2013 13,107,78

ETNEDAL,12.13.2013 12,123,86

ETNEDAL,12.13.2013 11,119,85

ETNEDAL,12.13.2013 10,117,76

FLORA,12.13.2013 15,2077,1259

FLORA,12.13.2013 14,2121,1246

FLORA,12.13.2013 13,1893,1110

FLORA,12.13.2013 12,1570,1006

FLORA,12.13.2013 11,1620,986

FLORA,12.13.2013 10,1553,915

FLORA,12.13.2013 09,1295,763

FLORA,12.13.2013 08,1070,681

FLORA,12.13.2013 07,420,306

FLORA,12.13.2013 06,89,68

FLORA,12.13.2013 05,40,28

FLORA,12.13.2013 04,24,15

FLORA,12.13.2013 03,27,12

FLORA,12.13.2013 02,28,22

FLORA,12.13.2013 01,40,32

FLORA,12.13.2013 00,112,79

FLESBERG,12.13.2013 23,108,79

FLESBERG,12.13.2013 22,74,57

FLESBERG,12.13.2013 21,115,80

FLESBERG,12.13.2013 20,137,100

FLESBERG,12.13.2013 19,147,105

FLESBERG,12.13.2013 18,246,174

FLESBERG,12.13.2013 17,285,184

FLESBERG,12.13.2013 16,310,214

FLESBERG,12.13.2013 15,317,208

FLESBERG,12.13.2013 14,339,209

FLESBERG,12.13.2013 13,296,163

FLESBERG,12.13.2013 12,242,143

FLESBERG,12.13.2013 11,225,149

FLESBERG,12.13.2013 10,234,137

FLESBERG,12.13.2013 09,265,150

FLESBERG,12.13.2013 08,236,145

FLESBERG,12.13.2013 07,88,70

FLESBERG,12.13.2013 06,33,28

FLESBERG,12.13.2013 05,13,12

FLESBERG,12.13.2013 04,2,2

FLESBERG,12.13.2013 03,4,3

FLESBERG,12.13.2013 02,1,1

FLESBERG,12.13.2013 01,1,1

FLESBERG,12.13.2013 00,18,14

FLEKKEFJORD,12.13.2013 23,234,167

FLEKKEFJORD,12.13.2013 22,350,236

KONGSBERG,12.13.2013 05,46,25

KONGSBERG,12.13.2013 04,18,11

KONGSBERG,12.13.2013 03,40,20

KONGSBERG,12.13.2013 02,40,20

KONGSBERG,12.13.2013 01,45,28

KONGSBERG,12.13.2013 00,122,78

KL?BU,12.13.2013 23,116,76

KL?BU,12.13.2013 22,175,121

KL?BU,12.13.2013 21,193,150

KL?BU,12.13.2013 20,302,194

KL?BU,12.13.2013 19,314,202

KL?BU,12.13.2013 18,389,231

KL?BU,12.13.2013 17,561,333

KL?BU,12.13.2013 16,648,407

KL?BU,12.13.2013 15,575,362

KL?BU,12.13.2013 07,97,71

KL?BU,12.13.2013 06,123,66

KL?BU,12.13.2013 05,12,10

KL?BU,12.13.2013 04,15,8

KL?BU,12.13.2013 03,31,11

KL?BU,12.13.2013 02,71,27

KL?BU,12.13.2013 01,20,9

KL?BU,12.13.2013 00,43,23

KLEPP,12.13.2013 23,267,196

KLEPP,12.13.2013 22,369,248

KLEPP,12.13.2013 21,447,321

KLEPP,12.13.2013 20,591,425

KLEPP,12.13.2013 19,807,553

KLEPP,12.13.2013 18,894,614

KLEPP,12.13.2013 17,1036,701

KLEPP,12.13.2013 16,1281,895

KLEPP,12.13.2013 15,1674,1073

KLEPP,12.13.2013 14,1647,1057

KLEPP,12.13.2013 13,1517,982

KLEPP,12.13.2013 12,1229,810

KLEPP,12.13.2013 11,1132,735

KLEPP,12.13.2013 10,1214,757

KLEPP,12.13.2013 09,1083,700

KLEPP,12.13.2013 08,933,608

KLEPP,12.13.2013 07,528,400

KLEPP,12.13.2013 06,238,171

KLEPP,12.13.2013 05,69,38

KV?NANGEN,12.13.2013 15,85,50

KV?NANGEN,12.13.2013 14,117,70

KV?NANGEN,12.13.2013 13,97,68

KV?NANGEN,12.13.2013 12,109,70

KV?NANGEN,12.13.2013 11,75,52

KV?NANGEN,12.13.2013 10,78,53

KV?NANGEN,12.13.2013 09,74,49

KV?NANGEN,12.13.2013 08,34,23

KV?NANGEN,12.13.2013 07,15,14

KV?NANGEN,12.13.2013 06,11,9

KV?NANGEN,12.13.2013 05,3,3

KV?NANGEN,12.13.2013 04,2,2

KV?NANGEN,12.13.2013 03,4,2

KV?NANGEN,12.13.2013 02,4,2

KV?NANGEN,12.13.2013 01,8,5

KV?NANGEN,12.13.2013 00,8,8

KV?FJORD,12.13.2013 23,89,67

KV?FJORD,12.13.2013 22,106,75

KV?FJORD,12.13.2013 21,177,122

KV?FJORD,12.13.2013 20,254,164

KV?FJORD,12.13.2013 19,218,153

KV?FJORD,12.13.2013 18,248,179

KV?FJORD,12.13.2013 17,275,197

KV?FJORD,12.13.2013 16,293,212

KV?FJORD,12.13.2013 15,325,230

KV?FJORD,12.13.2013 14,415,274

KV?FJORD,12.13.2013 13,337,221

KV?FJORD,12.13.2013 12,323,211

KV?FJORD,12.13.2013 11,294,191

KV?FJORD,12.13.2013 10,299,193

KV?FJORD,12.13.2013 09,243,160

KV?FJORD,12.13.2013 08,165,115

KV?FJORD,12.13.2013 07,145,98

KV?FJORD,12.13.2013 06,33,21

KV?FJORD,12.13.2013 05,11,10

KV?FJORD,12.13.2013 04,6,5

KV?FJORD,12.13.2013 03,6,5

KV?FJORD,12.13.2013 02,6,6

KV?FJORD,12.13.2013 01,14,9

KV?FJORD,12.13.2013 00,31,27

KVITS?Y,12.13.2013 23,32,15

KVITS?Y,12.13.2013 22,21,19

KVITS?Y,12.13.2013 21,38,27

LIERNE,12.13.2013 11,145,89

LIERNE,12.13.2013 10,166,95

LIERNE,12.13.2013 09,108,64

LIERNE,12.13.2013 08,78,46

LIERNE,12.13.2013 07,71,19

LIERNE,12.13.2013 06,25,6

LIERNE,12.13.2013 05,1,1

LIERNE,12.13.2013 00,3,2

LIER,12.13.2013 23,235,164

LIER,12.13.2013 22,349,261

LIER,12.13.2013 21,504,358

LIER,12.13.2013 20,660,460

LIER,12.13.2013 19,770,535

LIER,12.13.2013 18,1038,728

LIER,12.13.2013 17,1416,970

LIER,12.13.2013 16,2054,1356

LIER,12.13.2013 15,2249,1436

LIER,12.13.2013 14,2417,1513

LIER,12.13.2013 13,2150,1353

LIER,12.13.2013 12,1913,1186

LIER,12.13.2013 11,1846,1116

LIER,12.13.2013 10,1754,1087

LIER,12.13.2013 09,1540,950

LIER,12.13.2013 08,1202,761

LIER,12.13.2013 07,648,447

LIER,12.13.2013 06,132,108

LIER,12.13.2013 05,45,38

LIER,12.13.2013 04,19,12

LIER,12.13.2013 03,12,12

LIER,12.13.2013 02,27,20

LIER,12.13.2013 01,31,24

LIER,12.13.2013 00,91,63

LEVANGER,12.13.2013 23,266,202

LEVANGER,12.13.2013 22,480,331

LEVANGER,12.13.2013 21,609,436

LEVANGER,12.13.2013 20,867,602

LEVANGER,12.13.2013 19,1011,675

LEVANGER,12.13.2013 18,1148,741

LEVANGER,12.13.2013 17,1348,867

LEVANGER,12.13.2013 16,1715,1106

LEVANGER,12.13.2013 15,2173,1274

LEVANGER,12.13.2013 14,2268,1301

LEVANGER,12.13.2013 13,2011,1208

L?RDAL,12.13.2013 21,120,83

L?RDAL,12.13.2013 20,156,105

L?RDAL,12.13.2013 19,157,106

L?RDAL,12.13.2013 18,173,120

L?RDAL,12.13.2013 17,168,125

L?RDAL,12.13.2013 16,243,173

L?RDAL,12.13.2013 15,269,183

L?RDAL,12.13.2013 14,342,209

L?RDAL,12.13.2013 13,277,183

L?RDAL,12.13.2013 12,261,167

L?RDAL,12.13.2013 11,256,177

L?RDAL,12.13.2013 10,251,158

L?RDAL,12.13.2013 09,236,149

L?RDAL,12.13.2013 08,186,116

L?RDAL,12.13.2013 07,210,46

L?RDAL,12.13.2013 06,76,19

L?RDAL,12.13.2013 05,22,9

L?RDAL,12.13.2013 04,50,6

L?RDAL,12.13.2013 03,139,7

L?RDAL,12.13.2013 02,11,7

L?RDAL,12.13.2013 01,14,8

L?RDAL,12.13.2013 00,61,12

LYNGEN,12.13.2013 23,76,59

LYNGEN,12.13.2013 22,137,111

LYNGEN,12.13.2013 21,188,137

LYNGEN,12.13.2013 20,238,171

LYNGEN,12.13.2013 19,284,190

LYNGEN,12.13.2013 18,261,190

LYNGEN,12.13.2013 17,328,237

LYNGEN,12.13.2013 16,359,248

LYNGEN,12.13.2013 15,395,248

LYNGEN,12.13.2013 14,391,267

LYNGEN,12.13.2013 13,392,252

LYNGEN,12.13.2013 12,309,209

LYNGEN,12.13.2013 11,351,227

LYNGEN,12.13.2013 10,309,205

LYNGEN,12.13.2013 09,266,181

LYNGEN,12.13.2013 08,176,129

LYNGEN,12.13.2013 07,80,61

LYNGEN,12.13.2013 06,28,23

LYNGEN,12.13.2013 05,11,9

LYNGEN,12.13.2013 04,3,3

LYNGEN,12.13.2013 03,5,5

LYNGEN,12.13.2013 02,3,3

MIDSUND,12.13.2013 13,170,122

MIDSUND,12.13.2013 12,158,104

MIDSUND,12.13.2013 11,138,106

MIDSUND,12.13.2013 10,169,125

MIDSUND,12.13.2013 09,151,106

MIDSUND,12.13.2013 08,118,84

MIDSUND,12.13.2013 07,50,44

MIDSUND,12.13.2013 06,12,7

MIDSUND,12.13.2013 05,13,7

MIDSUND,12.13.2013 04,1,1

MIDSUND,12.13.2013 02,2,1

MIDSUND,12.13.2013 01,3,3

MIDSUND,12.13.2013 00,8,7

MER?KER,12.13.2013 23,61,38

MER?KER,12.13.2013 22,108,55

MER?KER,12.13.2013 21,130,88

MER?KER,12.13.2013 20,147,97

MER?KER,12.13.2013 19,193,112

MER?KER,12.13.2013 18,213,139

MER?KER,12.13.2013 17,287,161

MER?KER,12.13.2013 16,241,153

MER?KER,12.13.2013 15,303,166

MER?KER,12.13.2013 14,89,67

MER?KER,12.13.2013 13,75,57

MER?KER,12.13.2013 12,62,48

MER?KER,12.13.2013 11,71,56

MER?KER,12.13.2013 10,73,55

MER?KER,12.13.2013 09,97,71

MER?KER,12.13.2013 08,89,55

MER?KER,12.13.2013 07,94,52

MER?KER,12.13.2013 06,29,20

MER?KER,12.13.2013 05,11,7

MER?KER,12.13.2013 04,1,1

MER?KER,12.13.2013 03,1,1

MER?KER,12.13.2013 01,13,5

MER?KER,12.13.2013 00,11,8

MEL?Y,12.13.2013 23,204,164

MEL?Y,12.13.2013 22,377,255

MEL?Y,12.13.2013 21,409,291

MEL?Y,12.13.2013 20,492,349

MEL?Y,12.13.2013 19,532,373

MEL?Y,12.13.2013 18,454,336

MEL?Y,12.13.2013 17,568,392

MEL?Y,12.13.2013 16,734,496

NAUSTDAL,12.13.2013 02,2,2

NAUSTDAL,12.13.2013 01,1,1

NAUSTDAL,12.13.2013 00,15,9

NARVIK,12.13.2013 23,596,402

NARVIK,12.13.2013 22,895,571

NARVIK,12.13.2013 21,1094,736

NARVIK,12.13.2013 20,1271,867

NARVIK,12.13.2013 19,1484,978

NARVIK,12.13.2013 18,1395,972

NARVIK,12.13.2013 17,1449,969

NARVIK,12.13.2013 16,1803,1139

NARVIK,12.13.2013 15,2454,1461

NARVIK,12.13.2013 14,2387,1429

NARVIK,12.13.2013 13,2270,1357

NARVIK,12.13.2013 12,2019,1218

NARVIK,12.13.2013 11,1674,1063

NARVIK,12.13.2013 10,1635,1002

NARVIK,12.13.2013 09,1268,801

NARVIK,12.13.2013 08,981,645

NARVIK,12.13.2013 07,610,406

NARVIK,12.13.2013 06,191,126

NARVIK,12.13.2013 05,50,34

NARVIK,12.13.2013 04,22,18

NARVIK,12.13.2013 03,37,21

NARVIK,12.13.2013 02,34,23

NARVIK,12.13.2013 01,88,37

NARVIK,12.13.2013 00,103,79

NANNESTAD,12.13.2013 23,193,136

NANNESTAD,12.13.2013 22,359,243

NANNESTAD,12.13.2013 21,475,338

NANNESTAD,12.13.2013 20,598,438

NANNESTAD,12.13.2013 19,658,441

NANNESTAD,12.13.2013 18,713,520

NANNESTAD,12.13.2013 17,937,639

NANNESTAD,12.13.2013 16,1142,772

NANNESTAD,12.13.2013 15,1242,831

NANNESTAD,12.13.2013 14,1318,848

NANNESTAD,12.13.2013 13,1224,735

NANNESTAD,12.13.2013 12,934,594

NANNESTAD,12.13.2013 11,846,558

NANNESTAD,12.13.2013 10,894,573

NANNESTAD,12.13.2013 09,706,476

NANNESTAD,12.13.2013 08,685,471

NANNESTAD,12.13.2013 07,383,279

NANNESTAD,12.13.2013 06,150,105

NORD-ODAL,12.13.2013 14,500,334

NORD-ODAL,12.13.2013 13,451,299

NORD-ODAL,12.13.2013 12,359,239

NORD-ODAL,12.13.2013 11,325,219

NORD-ODAL,12.13.2013 10,379,261

NORD-ODAL,12.13.2013 09,342,205

NORD-ODAL,12.13.2013 08,227,161

NORD-ODAL,12.13.2013 07,142,107

NORD-ODAL,12.13.2013 06,51,38

NORD-ODAL,12.13.2013 05,9,9

NORD-ODAL,12.13.2013 04,4,3

NORD-ODAL,12.13.2013 03,1,1

NORD-ODAL,12.13.2013 02,1,1

NORD-ODAL,12.13.2013 01,2,2

NORD-ODAL,12.13.2013 00,8,8

NORD-FRON,12.13.2013 23,188,146

NORD-FRON,12.13.2013 22,323,234

NORD-FRON,12.13.2013 21,435,342

NORD-FRON,12.13.2013 20,576,415

NORD-FRON,12.13.2013 19,631,442

NORD-FRON,12.13.2013 18,618,462

NORD-FRON,12.13.2013 17,799,562

NORD-FRON,12.13.2013 16,974,680

NORD-FRON,12.13.2013 15,1387,827

NORD-FRON,12.13.2013 14,1380,890

NORD-FRON,12.13.2013 13,1111,738

NORD-FRON,12.13.2013 12,1105,727

NORD-FRON,12.13.2013 11,1108,724

NORD-FRON,12.13.2013 10,1120,691

NORD-FRON,12.13.2013 09,1037,659

NORD-FRON,12.13.2013 08,736,509

NORD-FRON,12.13.2013 07,318,234

NORD-FRON,12.13.2013 06,82,56

NORD-FRON,12.13.2013 05,17,11

NORD-FRON,12.13.2013 04,7,4

NORD-FRON,12.13.2013 03,8,6

NORD-FRON,12.13.2013 02,17,13

NORD-FRON,12.13.2013 01,29,19

NORD-FRON,12.13.2013 00,29,23

NORD-AURDAL,12.13.2013 23,217,160

NORD-AURDAL,12.13.2013 22,343,245

NORD-AURDAL,12.13.2013 21,411,324

NORD-AURDAL,12.13.2013 20,583,426

NORD-AURDAL,12.13.2013 19,775,546

NORD-AURDAL,12.13.2013 18,792,578

NORD-AURDAL,12.13.2013 17,920,663

NORD-AURDAL,12.13.2013 16,1338,908

NORD-AURDAL,12.13.2013 15,1593,1033

ASKER,12.13.2013 01,55,40 EVJE OG HORNNES,12.13.2013 03,2,2

KONGSBERG,12.13.2013 06,144,102

LIERNE,12.13.2013 12,111,72

MIDSUND,12.13.2013 14,199,148

NORD-ODAL,12.13.2013 15,474,316

BREMANGER,12.13.2013 02,4,3 FLORA,12.13.2013 16,1477,978

KV?NANGEN,12.13.2013 16,61,40

L?RDAL,12.13.2013 22,85,63

NAUSTDAL,12.13.2013 03,1,1

ASKER,12.13.2013 02,25,22 EVJE OG HORNNES,12.13.2013 04,12,5

KONGSBERG,12.13.2013 07,540,395

LIERNE,12.13.2013 13,159,92

MIDSUND,12.13.2013 15,186,135

NORD-ODAL,12.13.2013 16,406,283

BREMANGER,12.13.2013 03,4,1 FLORA,12.13.2013 17,1225,779

KV?NANGEN,12.13.2013 17,34,27

L?RDAL,12.13.2013 23,58,43

NAUSTDAL,12.13.2013 04,4,3

ASKER,12.13.2013 03,20,13 EVJE OG HORNNES,12.13.2013 05,29,9

KONGSBERG,12.13.2013 08,1147,728

LIERNE,12.13.2013 14,163,103

MIDSUND,12.13.2013 16,188,133

NORD-ODAL,12.13.2013 17,355,262

BREMANGER,12.13.2013 04,4,4 FLORA,12.13.2013 18,1197,790

KV?NANGEN,12.13.2013 18,54,34

L?DINGEN,12.13.2013 00,12,12

NAUSTDAL,12.13.2013 05,12,6

ASKER,12.13.2013 04,13,13 EVJE OG HORNNES,12.13.2013 06,57,23

KONGSBERG,12.13.2013 09,1521,982

LIERNE,12.13.2013 15,166,107

MIDSUND,12.13.2013 17,190,127

NORD-ODAL,12.13.2013 18,268,190

BREMANGER,12.13.2013 05,11,9 FLORA,12.13.2013 19,1165,759

KV?NANGEN,12.13.2013 19,60,44

L?DINGEN,12.13.2013 01,3,2

NAUSTDAL,12.13.2013 06,41,20

ASKER,12.13.2013 05,36,29 EVJE OG HORNNES,12.13.2013 07,173,76

KONGSBERG,12.13.2013 10,1708,1089

LIERNE,12.13.2013 16,143,94

MIDSUND,12.13.2013 18,162,115

NORD-ODAL,12.13.2013 19,211,167

BREMANGER,12.13.2013 06,25,20 FLORA,12.13.2013 20,909,615

KV?NANGEN,12.13.2013 20,59,43

L?DINGEN,12.13.2013 02,2,2

NAUSTDAL,12.13.2013 07,90,72

ASKER,12.13.2013 06,158,113 EVJE OG HORNNES,12.13.2013 08,207,144

KONGSBERG,12.13.2013 11,1846,1133

LIERNE,12.13.2013 17,125,84

MIDSUND,12.13.2013 19,132,101

NORD-ODAL,12.13.2013 20,194,154

BREMANGER,12.13.2013 07,141,102 FLORA,12.13.2013 21,703,474

KV?NANGEN,12.13.2013 21,43,33

L?DINGEN,12.13.2013 05,14,6

NAUSTDAL,12.13.2013 08,192,119

ASKER,12.13.2013 07,695,494 EVJE OG HORNNES,12.13.2013 09,367,204

KONGSBERG,12.13.2013 12,1975,1232

LIERNE,12.13.2013 18,99,82

MIDSUND,12.13.2013 20,122,89

NORD-ODAL,12.13.2013 21,201,154

BREMANGER,12.13.2013 08,317,213 FLORA,12.13.2013 22,640,403

KV?NANGEN,12.13.2013 22,45,34

L?DINGEN,12.13.2013 06,11,9

NAUSTDAL,12.13.2013 09,214,147

ASKER,12.13.2013 08,1442,936 EVJE OG HORNNES,12.13.2013 10,388,249

KONGSBERG,12.13.2013 13,2202,1351

LIERNE,12.13.2013 19,84,59

MIDSUND,12.13.2013 21,91,71

NORD-ODAL,12.13.2013 22,131,98

BREMANGER,12.13.2013 09,386,264 FLORA,12.13.2013 23,526,329

KV?NANGEN,12.13.2013 23,29,22

L?DINGEN,12.13.2013 07,83,57

NAUSTDAL,12.13.2013 10,227,152

ASKER,12.13.2013 09,2027,1221 EVJE OG HORNNES,12.13.2013 11,424,283

KONGSBERG,12.13.2013 14,2446,1478

LIERNE,12.13.2013 20,100,66

MIDSUND,12.13.2013 22,94,63

NORD-ODAL,12.13.2013 23,70,51

BREMANGER,12.13.2013 10,532,332 FL?,12.13.2013 00,11,9

K?FJORD,12.13.2013 00,13,13

L?DINGEN,12.13.2013 08,116,85

NAUSTDAL,12.13.2013 11,234,153

ASKER,12.13.2013 10,2270,1308 EVJE OG HORNNES,12.13.2013 12,372,264

KONGSBERG,12.13.2013 15,2419,1475

LIERNE,12.13.2013 21,63,48

MIDSUND,12.13.2013 23,87,52

NORDDAL,12.13.2013 00,4,4

BREMANGER,12.13.2013 11,464,303 FL?,12.13.2013 01,2,2

K?FJORD,12.13.2013 01,4,4

L?DINGEN,12.13.2013 09,201,116

NAUSTDAL,12.13.2013 12,195,144

ASKER,12.13.2013 11,2304,1389 EVJE OG HORNNES,12.13.2013 13,501,323

KONGSBERG,12.13.2013 16,1784,1192

LIERNE,12.13.2013 22,54,34

MIDTRE GAULDAL,12.13.2013 00,48,32

NORDDAL,12.13.2013 01,2,2

BREMANGER,12.13.2013 12,524,334 FL?,12.13.2013 03,1,1

K?FJORD,12.13.2013 02,2,2

L?DINGEN,12.13.2013 10,228,164

NAUSTDAL,12.13.2013 13,235,155

ASKER,12.13.2013 12,2451,1456 EVJE OG HORNNES,12.13.2013 14,505,342

KONGSBERG,12.13.2013 17,1340,910

LIERNE,12.13.2013 23,21,17

MIDTRE GAULDAL,12.13.2013 01,25,14

NORDDAL,12.13.2013 05,1,1

BREMANGER,12.13.2013 13,637,388 FL?,12.13.2013 04,6,2

K?FJORD,12.13.2013 03,7,6

L?DINGEN,12.13.2013 11,262,175

NAUSTDAL,12.13.2013 14,292,197

ASKER,12.13.2013 13,2853,1725 EVJE OG HORNNES,12.13.2013 15,514,358

KONGSBERG,12.13.2013 18,1050,725

LILLEHAMMER,12.13.2013 00,140,90

MIDTRE GAULDAL,12.13.2013 02,20,17

NORDDAL,12.13.2013 06,11,9

BREMANGER,12.13.2013 14,607,374 FL?,12.13.2013 05,4,3

K?FJORD,12.13.2013 04,2,2

L?DINGEN,12.13.2013 12,284,181

NAUSTDAL,12.13.2013 15,312,205

ASKER,12.13.2013 14,2996,1830 EVJE OG HORNNES,12.13.2013 16,469,321

KONGSBERG,12.13.2013 19,724,494

LILLEHAMMER,12.13.2013 01,69,34

MIDTRE GAULDAL,12.13.2013 03,36,20

BREMANGER,12.13.2013 15,536,352 FL?,12.13.2013 06,12,10

K?FJORD,12.13.2013 05,5,3

L?DINGEN,12.13.2013 13,298,196

ASKER,12.13.2013 15,3071,1839 EVJE OG HORNNES,12.13.2013 17,409,268

KONGSBERG,12.13.2013 20,619,438

LILLEHAMMER,12.13.2013 02,72,27

BREMANGER,12.13.2013 16,411,292 FL?,12.13.2013 07,42,30

K?FJORD,12.13.2013 06,18,15

ASKER,12.13.2013 16,2710,1720 EVJE OG HORNNES,12.13.2013 18,341,233

KONGSBERG,12.13.2013 21,491,351

BREMANGER,12.13.2013 17,373,280 FL?,12.13.2013 08,101,64

ASKER,12.13.2013 17,1981,1294 EVJE OG HORNNES,12.13.2013 19,306,214

BREMANGER,12.13.2013 18,297,217

NORDDAL,12.13.2013 07,52,39

ASKER,12.13.2013 18,1561,1023

NAUSTDAL,12.13.2013 16,312,210

BREMANGER,12.13.2013 19,341,235

MIDTRE GAULDAL,12.13.2013 04,35,22

BREMANGER,12.13.2013 20,254,180

L?DINGEN,12.13.2013 14,334,218

BREMANGER,12.13.2013 21,204,155

LILLEHAMMER,12.13.2013 03,75,24

BREMANGER,12.13.2013 22,134,102

K?FJORD,12.13.2013 07,45,40

ASKER,12.13.2013 19,1111,747

BREMANGER,12.13.2013 23,75,56

KONGSBERG,12.13.2013 22,430,298

ASKER,12.13.2013 20,988,650

BR?NN?Y,12.13.2013 00,82,53

FL?,12.13.2013 09,119,84

ASKER,12.13.2013 21,785,501

BR?NN?Y,12.13.2013 01,19,15

EVJE OG HORNNES,12.13.2013 20,209,152

ASKER,12.13.2013 22,566,382

BR?NN?Y,12.13.2013 02,7,6

NORDDAL,12.13.2013 08,83,66

ASKER,12.13.2013 23,354,245

BR?NN?Y,12.13.2013 03,7,7

NAUSTDAL,12.13.2013 17,222,170

ASKIM,12.13.2013 00,73,39

BR?NN?Y,12.13.2013 04,7,6

MIDTRE GAULDAL,12.13.2013 05,61,45

ASKIM,12.13.2013 01,25,16

BR?NN?Y,12.13.2013 05,8,6

L?DINGEN,12.13.2013 15,267,181

ASKIM,12.13.2013 02,14,12

BR?NN?Y,12.13.2013 06,58,44

LILLEHAMMER,12.13.2013 04,48,21

ASKIM,12.13.2013 03,19,12

BR?NN?Y,12.13.2013 07,289,207

K?FJORD,12.13.2013 08,68,56

ASKIM,12.13.2013 04,16,11

BR?NN?Y,12.13.2013 08,568,388

KONGSBERG,12.13.2013 23,314,205

ASKIM,12.13.2013 05,56,45

BR?NN?Y,12.13.2013 09,827,525

FL?,12.13.2013 10,169,111

ASKIM,12.13.2013 06,137,95

BR?NN?Y,12.13.2013 10,1035,674

EVJE OG HORNNES,12.13.2013 21,202,137

ASKIM,12.13.2013 07,408,295

BR?NN?Y,12.13.2013 11,1013,662

NORDDAL,12.13.2013 09,155,106

ASKIM,12.13.2013 08,992,613

BR?NN?Y,12.13.2013 12,1150,728

NAUSTDAL,12.13.2013 18,197,151

ASKIM,12.13.2013 09,1253,720

BR?NN?Y,12.13.2013 13,1227,774

MIDTRE GAULDAL,12.13.2013 06,240,148

ASKIM,12.13.2013 10,1313,765

BR?NN?Y,12.13.2013 14,1401,895

L?DINGEN,12.13.2013 16,231,169

ASKIM,12.13.2013 11,1496,913

BR?NN?Y,12.13.2013 15,1439,911

LILLEHAMMER,12.13.2013 05,63,31

ASKIM,12.13.2013 12,1530,886

BR?NN?Y,12.13.2013 16,1104,738

K?FJORD,12.13.2013 09,138,88

ASKIM,12.13.2013 13,1629,1025

BR?NN?Y,12.13.2013 17,877,596

KONGSVINGER,12.13.2013 00,96,67

ASKIM,12.13.2013 14,1973,1225

BR?NN?Y,12.13.2013 18,714,497

FL?,12.13.2013 11,161,99

ASKIM,12.13.2013 15,1974,1216

BR?NN?Y,12.13.2013 19,737,493

EVJE OG HORNNES,12.13.2013 22,160,99

ASKIM,12.13.2013 16,1567,1043

BR?NN?Y,12.13.2013 20,553,398

NORDDAL,12.13.2013 10,181,117

ASKIM,12.13.2013 17,1266,891

BR?NN?Y,12.13.2013 21,437,329

NAUSTDAL,12.13.2013 19,174,126

ASKIM,12.13.2013 18,940,671

BR?NN?Y,12.13.2013 22,496,290

MIDTRE GAULDAL,12.13.2013 07,503,314

ASKIM,12.13.2013 19,847,578

BR?NN?Y,12.13.2013 23,294,206

L?DINGEN,12.13.2013 17,238,145

ASKIM,12.13.2013 20,700,486

BYGLAND,12.13.2013 00,8,7

LILLEHAMMER,12.13.2013 06,191,111

ASKIM,12.13.2013 21,608,424

BYGLAND,12.13.2013 01,1,1

K?FJORD,12.13.2013 10,149,107

ASKIM,12.13.2013 22,410,281

BYGLAND,12.13.2013 03,2,2

KONGSVINGER,12.13.2013 01,56,28

ASKIM,12.13.2013 23,274,161

BYGLAND,12.13.2013 04,2,1

FL?,12.13.2013 12,197,119

ASKVOLL,12.13.2013 00,35,27

BYGLAND,12.13.2013 05,2,2

EVJE OG HORNNES,12.13.2013 23,138,85

ASKVOLL,12.13.2013 01,10,9

BYGLAND,12.13.2013 06,11,9

NORDDAL,12.13.2013 11,179,126

ASKVOLL,12.13.2013 02,8,8

BYGLAND,12.13.2013 07,37,32

NAUSTDAL,12.13.2013 20,179,127

ASKVOLL,12.13.2013 03,3,2

BYGLAND,12.13.2013 08,72,52

MIDTRE GAULDAL,12.13.2013 08,772,427

ASKVOLL,12.13.2013 04,1,1

BYGLAND,12.13.2013 09,124,76

L?DINGEN,12.13.2013 18,243,137

ASKVOLL,12.13.2013 05,1,1

BYGLAND,12.13.2013 10,147,89

LILLEHAMMER,12.13.2013 07,564,379

ASKVOLL,12.13.2013 06,30,23

BYGLAND,12.13.2013 11,141,89

K?FJORD,12.13.2013 11,195,122

ASKVOLL,12.13.2013 07,146,114

BYGLAND,12.13.2013 12,149,103

KONGSVINGER,12.13.2013 02,70,14

ASKVOLL,12.13.2013 08,304,226

BYGLAND,12.13.2013 13,164,113

FL?,12.13.2013 13,226,124

ASKVOLL,12.13.2013 09,438,300

BYGLAND,12.13.2013 14,180,121

FARSUND,12.13.2013 00,26,18

ASKVOLL,12.13.2013 10,519,333

BYGLAND,12.13.2013 15,185,117

NORDDAL,12.13.2013 12,165,108

ASKVOLL,12.13.2013 11,504,344

BYGLAND,12.13.2013 16,161,109

NAUSTDAL,12.13.2013 21,128,95

ASKVOLL,12.13.2013 12,502,339

BYGLAND,12.13.2013 17,150,113

MIDTRE GAULDAL,12.13.2013 09,839,523

ASKVOLL,12.13.2013 13,548,363

BYGLAND,12.13.2013 18,134,99

L?DINGEN,12.13.2013 19,230,151

ASKVOLL,12.13.2013 14,684,455

BYGLAND,12.13.2013 19,107,80

LILLEHAMMER,12.13.2013 08,1256,781

ASKVOLL,12.13.2013 15,608,408

BYGLAND,12.13.2013 20,107,70

K?FJORD,12.13.2013 12,127,98

ASKVOLL,12.13.2013 16,501,359

BYGLAND,12.13.2013 21,60,44

KONGSVINGER,12.13.2013 03,42,12

ASKVOLL,12.13.2013 17,431,301

BYGLAND,12.13.2013 22,58,41

FL?,12.13.2013 14,250,159

ASKVOLL,12.13.2013 18,382,276

BYGLAND,12.13.2013 23,32,22

FARSUND,12.13.2013 01,16,13

ASKVOLL,12.13.2013 19,437,307

BYKLE,12.13.2013 00,7,5

NORDDAL,12.13.2013 13,196,124

ASKVOLL,12.13.2013 20,331,257

BYKLE,12.13.2013 01,1,1

NAUSTDAL,12.13.2013 22,84,67

ASKVOLL,12.13.2013 21,313,238

BYKLE,12.13.2013 02,3,2

MIDTRE GAULDAL,12.13.2013 10,1002,585

ASKVOLL,12.13.2013 22,194,150

BYKLE,12.13.2013 03,3,2

L?DINGEN,12.13.2013 20,200,141

ASKVOLL,12.13.2013 23,103,74

BYKLE,12.13.2013 04,2,1

LILLEHAMMER,12.13.2013 09,1612,1008

ASK?Y,12.13.2013 00,91,57

BYKLE,12.13.2013 05,6,2

K?FJORD,12.13.2013 13,146,97

ASK?Y,12.13.2013 01,37,24

BYKLE,12.13.2013 06,18,12

KONGSVINGER,12.13.2013 04,44,14

ASK?Y,12.13.2013 02,7,5

BYKLE,12.13.2013 07,28,24

FL?,12.13.2013 15,242,154

ASK?Y,12.13.2013 03,22,12

BYKLE,12.13.2013 08,103,64

FARSUND,12.13.2013 02,16,11

ASK?Y,12.13.2013 04,23,11

BYKLE,12.13.2013 09,162,94

NORDDAL,12.13.2013 14,196,143

ASK?Y,12.13.2013 05,33,22

BYKLE,12.13.2013 10,186,112

NAUSTDAL,12.13.2013 23,64,49

ASK?Y,12.13.2013 06,128,101

BYKLE,12.13.2013 11,182,122

MIDTRE GAULDAL,12.13.2013 11,853,538

ASK?Y,12.13.2013 07,455,337

BYKLE,12.13.2013 12,196,124

L?DINGEN,12.13.2013 21,174,132

ASK?Y,12.13.2013 08,795,540

BYKLE,12.13.2013 13,197,123

LILLEHAMMER,12.13.2013 10,1905,1152

ASK?Y,12.13.2013 09,946,630

BYKLE,12.13.2013 14,236,137

K?FJORD,12.13.2013 14,152,111

ASK?Y,12.13.2013 10,1014,679

BYKLE,12.13.2013 15,240,143

KONGSVINGER,12.13.2013 05,53,29

ASK?Y,12.13.2013 11,1033,674

BYKLE,12.13.2013 16,221,118

FL?,12.13.2013 16,226,167

ASK?Y,12.13.2013 12,1106,713

BYKLE,12.13.2013 17,154,107

FARSUND,12.13.2013 03,7,6

ASK?Y,12.13.2013 13,1366,881

BYKLE,12.13.2013 18,127,91

NORDDAL,12.13.2013 15,237,150

ASK?Y,12.13.2013 14,1507,976

BYKLE,12.13.2013 19,141,104

NEDRE EIKER,12.13.2013 00,81,59

ASK?Y,12.13.2013 15,1544,1021

BYKLE,12.13.2013 20,185,130

MIDTRE GAULDAL,12.13.2013 12,999,582

ASK?Y,12.13.2013 16,1342,912

BYKLE,12.13.2013 21,127,93

L?DINGEN,12.13.2013 22,131,98

ASK?Y,12.13.2013 17,1050,743

BYKLE,12.13.2013 22,97,65

LILLEHAMMER,12.13.2013 11,1906,1215

ASK?Y,12.13.2013 18,962,654

BYKLE,12.13.2013 23,80,47

K?FJORD,12.13.2013 15,141,104

ASK?Y,12.13.2013 19,924,632

B?TSFJORD,12.13.2013 00,20,19

KONGSVINGER,12.13.2013 06,156,110

ASK?Y,12.13.2013 20,728,519

B?TSFJORD,12.13.2013 01,15,8

FL?,12.13.2013 17,173,124

ASK?Y,12.13.2013 21,552,397

B?TSFJORD,12.13.2013 02,4,4

FARSUND,12.13.2013 04,7,6

ASK?Y,12.13.2013 22,458,308

B?TSFJORD,12.13.2013 04,11,5

NORDDAL,12.13.2013 16,211,139

ASK?Y,12.13.2013 23,280,200

B?TSFJORD,12.13.2013 05,27,12

NEDRE EIKER,12.13.2013 01,26,17

AUDNEDAL,12.13.2013 00,13,9

B?TSFJORD,12.13.2013 06,43,29

MIDTRE GAULDAL,12.13.2013 13,1145,649

AUDNEDAL,12.13.2013 01,3,3

B?TSFJORD,12.13.2013 07,128,81

L?DINGEN,12.13.2013 23,76,54

AUDNEDAL,12.13.2013 02,1,1

B?TSFJORD,12.13.2013 08,240,143

LILLEHAMMER,12.13.2013 12,2172,1335

AUDNEDAL,12.13.2013 04,1,1

B?TSFJORD,12.13.2013 09,343,195

K?FJORD,12.13.2013 16,123,85

AUDNEDAL,12.13.2013 05,5,4

B?TSFJORD,12.13.2013 10,341,219

KONGSVINGER,12.13.2013 07,469,318

AUDNEDAL,12.13.2013 06,26,21

B?TSFJORD,12.13.2013 11,336,209

FL?,12.13.2013 18,174,116

AUDNEDAL,12.13.2013 07,70,48

B?TSFJORD,12.13.2013 12,332,219

FARSUND,12.13.2013 05,27,16

AUDNEDAL,12.13.2013 08,96,70

B?TSFJORD,12.13.2013 13,438,266

NEDRE EIKER,12.13.2013 02,19,11

AUDNEDAL,12.13.2013 09,152,107

B?TSFJORD,12.13.2013 14,392,228

MIDTRE GAULDAL,12.13.2013 14,1197,677

AUDNEDAL,12.13.2013 10,146,107

B?TSFJORD,12.13.2013 15,345,217

L?RENSKOG,12.13.2013 00,128,94

AUDNEDAL,12.13.2013 11,146,109

B?TSFJORD,12.13.2013 16,246,152

LILLEHAMMER,12.13.2013 13,2421,1497

AUDNEDAL,12.13.2013 12,192,123

B?TSFJORD,12.13.2013 17,235,150

K?FJORD,12.13.2013 17,147,102

AUDNEDAL,12.13.2013 13,179,120

B?TSFJORD,12.13.2013 18,220,152

KONGSVINGER,12.13.2013 08,887,595

AUDNEDAL,12.13.2013 14,257,173

B?TSFJORD,12.13.2013 19,218,162

FL?,12.13.2013 19,167,119

AUDNEDAL,12.13.2013 15,258,167

B?TSFJORD,12.13.2013 20,230,167

FARSUND,12.13.2013 06,62,42

AUDNEDAL,12.13.2013 16,197,135

B?TSFJORD,12.13.2013 21,183,121

NEDRE EIKER,12.13.2013 03,11,8

AUDNEDAL,12.13.2013 17,183,125

B?TSFJORD,12.13.2013 22,132,89

MIDTRE GAULDAL,12.13.2013 15,1073,678

AUDNEDAL,12.13.2013 18,163,111

B?TSFJORD,12.13.2013 23,87,67

L?RENSKOG,12.13.2013 01,53,38

AUDNEDAL,12.13.2013 19,123,90

B?RUM,12.13.2013 00,163,116

LILLEHAMMER,12.13.2013 14,2691,1585

AUDNEDAL,12.13.2013 20,112,75

B?RUM,12.13.2013 01,81,48

K?FJORD,12.13.2013 18,134,93

AUDNEDAL,12.13.2013 21,61,46

B?RUM,12.13.2013 02,50,26

KONGSVINGER,12.13.2013 09,1438,825

AUDNEDAL,12.13.2013 22,60,41

B?RUM,12.13.2013 03,48,26

FL?,12.13.2013 20,129,94

AUDNEDAL,12.13.2013 23,58,26

B?RUM,12.13.2013 04,33,18

FARSUND,12.13.2013 07,220,166

AUKRA,12.13.2013 00,17,12

B?RUM,12.13.2013 05,68,45

NEDRE EIKER,12.13.2013 04,17,10

AUKRA,12.13.2013 01,4,3

B?RUM,12.13.2013 06,197,141

MIDTRE GAULDAL,12.13.2013 16,897,573

AUKRA,12.13.2013 02,2,2

B?RUM,12.13.2013 07,938,633

L?RENSKOG,12.13.2013 02,39,22

AUKRA,12.13.2013 04,7,4

B?RUM,12.13.2013 08,2184,1362

LILLEHAMMER,12.13.2013 15,2728,1675

AUKRA,12.13.2013 05,6,3

B?RUM,12.13.2013 09,3098,1883

K?FJORD,12.13.2013 19,136,98

AUKRA,12.13.2013 06,17,10

KONGSVINGER,12.13.2013 10,1637,954

AUKRA,12.13.2013 07,60,51

FL?

AUKRA,12.13.2013 08,90,64

FINN?Y,12.13.2013 09,187,127

FINN?Y,12.13.2013 08,156,105

FINN?Y,12.13.2013 07,58,49

FINN?Y,12.13.2013 06,23,18

FINN?Y,12.13.2013 05,7,5

FINN?Y,12.13.2013 04,4,2

FINN?Y,12.13.2013 03,1,1

FINN?Y,12.13.2013 01,17,5

FINN?Y,12.13.2013 00,10,9

FET,12.13.2013 23,222,160

FET,12.13.2013 22,272,216

FET,12.13.2013 21,369,282

FET,12.13.2013 20,553,392

FET,12.13.2013 19,596,441

FET,12.13.2013 18,669,501

FET,12.13.2013 17,925,670

FET,12.13.2013 16,1142,816

FET,12.13.2013 15,1231,835

FET,12.13.2013 14,1330,849

FET,12.13.2013 13,1050,689

FET,12.13.2013 12,902,578

FET,12.13.2013 11,825,526

FET,12.13.2013 10,959,613

FET,12.13.2013 09,878,552

FET,12.13.2013 08,730,481

FET,12.13.2013 07,457,331

FET,12.13.2013 06,116,89

FET,12.13.2013 05,36,28

FET,12.13.2013 04,18,9

FET,12.13.2013 03,14,10

FET,12.13.2013 02,10,8

FET,12.13.2013 01,32,22

FET,12.13.2013 00,61,48

FEDJE,12.13.2013 23,16,13

FEDJE,12.13.2013 22,16,14

FEDJE,12.13.2013 21,37,32

FEDJE,12.13.2013 20,25,21

FEDJE,12.13.2013 19,28,27

FEDJE,12.13.2013 18,41,30

FEDJE,12.13.2013 17,35,28

FEDJE,12.13.2013 16,37,29

FEDJE,12.13.2013 15,46,39

FEDJE,12.13.2013 14,64,42

FEDJE,12.13.2013 13,71,47

FEDJE,12.13.2013 12,39,29

FEDJE,12.13.2013 11,26,22

FEDJE,12.13.2013 10,31,24

FEDJE,12.13.2013 09,29,19

FEDJE,12.13.2013 08,27,21

FEDJE,12.13.2013 07,21,16

FEDJE,12.13.2013 06,4,3

FEDJE,12.13.2013 05,1,1

FEDJE,12.13.2013 03,1,1

FEDJE,12.13.2013 02,1,1

FEDJE,12.13.2013 01,4,1

FEDJE,12.13.2013 00,2,2

FAUSKE,12.13.2013 23,335,227

FAUSKE,12.13.2013 22,521,381

FAUSKE,12.13.2013 21,674,471

FAUSKE,12.13.2013 20,812,570

FAUSKE,12.13.2013 19,909,624

FAUSKE,12.13.2013 18,1045,708

FAUSKE,12.13.2013 17,1110,749

FAUSKE,12.13.2013 16,1269,889

FAUSKE,12.13.2013 15,1605,1062

FAUSKE,12.13.2013 14,1730,1070

FAUSKE,12.13.2013 13,1670,1025

FAUSKE,12.13.2013 12,1465,910

FAUSKE,12.13.2013 11,1422,919

FAUSKE,12.13.2013 10,1255,785

FAUSKE,12.13.2013 09,981,618

FAUSKE,12.13.2013 08,750,496

FAUSKE,12.13.2013 07,367,255

FAUSKE,12.13.2013 06,89,69

FAUSKE,12.13.2013 05,21,16

FAUSKE,12.13.2013 04,19,9

FAUSKE,12.13.2013 03,19,12

FAUSKE,12.13.2013 02,18,15

FAUSKE,12.13.2013 01,48,30

FAUSKE,12.13.2013 00,71,60

FARSUND,12.13.2013 23,234,162

FARSUND,12.13.2013 22,277,197

FARSUND,12.13.2013 21,332,224

FARSUND,12.13.2013 20,376,257

FARSUND,12.13.2013 19,408,320

FARSUND,12.13.2013 18,527,374

FARSUND,12.13.2013 17,620,418

FARSUND,12.13.2013 16,764,508

FARSUND,12.13.2013 15,997,637

FARSUND,12.13.2013 14,976,601

FARSUND,12.13.2013 13,833,525

FARSUND,12.13.2013 12,746,451

FARSUND,12.13.2013 11,717,433

FARSUND,12.13.2013 10,713,466

FARSUND,12.13.2013 09,692,443

KR?DSHERAD,12.13.2013 10,346,213

KR?DSHERAD,12.13.2013 09,274,165

KR?DSHERAD,12.13.2013 08,223,138

KR?DSHERAD,12.13.2013 07,107,78

KR?DSHERAD,12.13.2013 06,30,24

KR?DSHERAD,12.13.2013 05,4,3

KR?DSHERAD,12.13.2013 04,7,4

KR?DSHERAD,12.13.2013 03,7,3

KR?DSHERAD,12.13.2013 02,84,2

KR?DSHERAD,12.13.2013 01,10,9

KR?DSHERAD,12.13.2013 00,21,16

KRISTIANSUND,12.13.2013 23,402,258

KRISTIANSUND,12.13.2013 22,560,364

KRISTIANSUND,12.13.2013 21,670,454

KRISTIANSUND,12.13.2013 20,971,640

KRISTIANSUND,12.13.2013 19,1060,738

KRISTIANSUND,12.13.2013 18,1145,786

KRISTIANSUND,12.13.2013 17,1401,916

KRISTIANSUND,12.13.2013 16,1838,1168

KRISTIANSUND,12.13.2013 15,2157,1343

KRISTIANSUND,12.13.2013 14,2378,1431

KRISTIANSUND,12.13.2013 13,2327,1391

KRISTIANSUND,12.13.2013 12,1933,1200

KRISTIANSUND,12.13.2013 11,1788,1124

KRISTIANSUND,12.13.2013 10,1775,1039

KRISTIANSUND,12.13.2013 09,1581,920

KRISTIANSUND,12.13.2013 08,1182,733

KRISTIANSUND,12.13.2013 07,504,356

KRISTIANSUND,12.13.2013 06,81,68

KRISTIANSUND,12.13.2013 05,31,23

KRISTIANSUND,12.13.2013 04,17,11

KRISTIANSUND,12.13.2013 03,14,10

KRISTIANSUND,12.13.2013 02,70,20

KRISTIANSUND,12.13.2013 01,45,35

KRISTIANSUND,12.13.2013 00,112,87

KRISTIANSAND,12.13.2013 23,897,584

KRISTIANSAND,12.13.2013 22,1075,700

KRISTIANSAND,12.13.2013 21,1442,930

KRISTIANSAND,12.13.2013 20,1886,1227

KRISTIANSAND,12.13.2013 19,2212,1403

KRISTIANSAND,12.13.2013 18,2520,1650

KRISTIANSAND,12.13.2013 17,2917,1825

KRISTIANSAND,12.13.2013 16,4233,2502

KRISTIANSAND,12.13.2013 15,5337,3044

KRISTIANSAND,12.13.2013 14,5387,3038

KRISTIANSAND,12.13.2013 13,5072,2893

KRISTIANSAND,12.13.2013 12,4466,2556

KRISTIANSAND,12.13.2013 11,4000,2366

KRISTIANSAND,12.13.2013 10,3851,2198

KRISTIANSAND,12.13.2013 09,3253,1872

KRISTIANSAND,12.13.2013 08,2409,1461

KRISTIANSAND,12.13.2013 07,1318,901

KRISTIANSAND,12.13.2013 06,318,238

KRISTIANSAND,12.13.2013 05,92,61

KRISTIANSAND,12.13.2013 04,55,37

KRISTIANSAND,12.13.2013 03,54,33

KRISTIANSAND,12.13.2013 02,108,54

KRISTIANSAND,12.13.2013 01,146,79

KRISTIANSAND,12.13.2013 00,314,194

KRAGER?,12.13.2013 23,194,130

KRAGER?,12.13.2013 22,355,232

KRAGER?,12.13.2013 21,389,277

KRAGER?,12.13.2013 20,491,331

KRAGER?,12.13.2013 19,547,387

KRAGER?,12.13.2013 18,668,476

KRAGER?,12.13.2013 17,851,572

KRAGER?,12.13.2013 16,945,639

KRAGER?,12.13.2013 15,1268,818

KRAGER?,12.13.2013 14,1327,820

KRAGER?,12.13.2013 13,1004,663

KRAGER?,12.13.2013 12,1070,675

KRAGER?,12.13.2013 11,894,583

KRAGER?,12.13.2013 10,872,558

KRAGER?,12.13.2013 09,726,480

KRAGER?,12.13.2013 08,496,340

KRAGER?,12.13.2013 07,252,184

KRAGER?,12.13.2013 06,60,46

KRAGER?,12.13.2013 05,12,10

KRAGER?,12.13.2013 04,3,3

KRAGER?,12.13.2013 03,14,8

KRAGER?,12.13.2013 02,15,10

KRAGER?,12.13.2013 01,17,13

KRAGER?,12.13.2013 00,55,37

KONGSVINGER,12.13.2013 23,328,216

KONGSVINGER,12.13.2013 22,428,290

KONGSVINGER,12.13.2013 21,459,333

KONGSVINGER,12.13.2013 20,687,466

KONGSVINGER,12.13.2013 19,783,558

KONGSVINGER,12.13.2013 18,1011,651

KONGSVINGER,12.13.2013 17,1250,849

KONGSVINGER,12.13.2013 16,1602,1025

KONGSVINGER,12.13.2013 15,2112,1293

KONGSVINGER,12.13.2013 14,2200,1276

KONGSVINGER,12.13.2013 13,2014,1196

KONGSVINGER,12.13.2013 12,1877,1091

KONGSVINGER,12.13.2013 11,1678,1006

LEBESBY,12.13.2013 21,113,85

LEBESBY,12.13.2013 20,167,119

LEBESBY,12.13.2013 19,177,108

LEBESBY,12.13.2013 18,223,147

LEBESBY,12.13.2013 17,246,125

LEBESBY,12.13.2013 16,207,146

LEBESBY,12.13.2013 15,275,174

LEBESBY,12.13.2013 14,319,176

LEBESBY,12.13.2013 13,270,149

LEBESBY,12.13.2013 12,261,153

LEBESBY,12.13.2013 11,214,131

LEBESBY,12.13.2013 10,227,136

LEBESBY,12.13.2013 09,179,93

LEBESBY,12.13.2013 08,120,78

LEBESBY,12.13.2013 07,62,44

LEBESBY,12.13.2013 06,19,15

LEBESBY,12.13.2013 05,11,9

LEBESBY,12.13.2013 04,5,4

LEBESBY,12.13.2013 03,1,1

LEBESBY,12.13.2013 02,3,3

LEBESBY,12.13.2013 01,1,1

LEBESBY,12.13.2013 00,4,4

LAVANGEN,12.13.2013 23,23,18

LAVANGEN,12.13.2013 22,48,33

LAVANGEN,12.13.2013 21,57,39

LAVANGEN,12.13.2013 20,73,53

LAVANGEN,12.13.2013 19,83,62

LAVANGEN,12.13.2013 18,82,59

LAVANGEN,12.13.2013 17,119,77

LAVANGEN,12.13.2013 16,98,70

LAVANGEN,12.13.2013 15,139,90

LAVANGEN,12.13.2013 14,152,93

LAVANGEN,12.13.2013 13,128,87

LAVANGEN,12.13.2013 12,125,84

LAVANGEN,12.13.2013 11,125,84

LAVANGEN,12.13.2013 10,111,71

LAVANGEN,12.13.2013 09,96,62

LAVANGEN,12.13.2013 08,64,40

LAVANGEN,12.13.2013 07,46,31

LAVANGEN,12.13.2013 06,11,5

LAVANGEN,12.13.2013 05,5,5

LAVANGEN,12.13.2013 03,3,2

LAVANGEN,12.13.2013 02,3,2

LAVANGEN,12.13.2013 01,5,5

LAVANGEN,12.13.2013 00,12,7

LARVIK,12.13.2013 23,431,281

LARVIK,12.13.2013 22,556,373

LARVIK,12.13.2013 21,732,483

LARVIK,12.13.2013 20,895,625

LARVIK,12.13.2013 19,1106,774

LARVIK,12.13.2013 18,1334,868

LARVIK,12.13.2013 17,1683,1087

LARVIK,12.13.2013 16,2234,1440

LARVIK,12.13.2013 15,2470,1485

LARVIK,12.13.2013 14,2489,1455

LARVIK,12.13.2013 13,2208,1329

LARVIK,12.13.2013 12,2174,1278

LARVIK,12.13.2013 11,1848,1117

LARVIK,12.13.2013 10,1813,1057

LARVIK,12.13.2013 09,1696,1007

LARVIK,12.13.2013 08,1261,798

LARVIK,12.13.2013 07,578,421

LARVIK,12.13.2013 06,157,121

LARVIK,12.13.2013 05,39,32

LARVIK,12.13.2013 04,16,11

LARVIK,12.13.2013 03,21,19

LARVIK,12.13.2013 02,34,22

LARVIK,12.13.2013 01,42,30

LARVIK,12.13.2013 00,73,54

LARDAL,12.13.2013 23,47,32

LARDAL,12.13.2013 22,69,46

LARDAL,12.13.2013 21,74,57

LARDAL,12.13.2013 20,125,98

LARDAL,12.13.2013 19,158,117

LARDAL,12.13.2013 18,166,132

LARDAL,12.13.2013 17,237,176

LARDAL,12.13.2013 16,298,204

LARDAL,12.13.2013 15,360,224

LARDAL,12.13.2013 14,347,221

LARDAL,12.13.2013 13,275,173

LARDAL,12.13.2013 12,271,182

LARDAL,12.13.2013 11,242,150

LARDAL,12.13.2013 10,262,168

LARDAL,12.13.2013 09,256,145

LARDAL,12.13.2013 08,160,105

LARDAL,12.13.2013 07,67,61

LARDAL,12.13.2013 06,20,17

LARDAL,12.13.2013 05,10,5

LARDAL,12.13.2013 04,3,3

LARDAL,12.13.2013 02,3,3

LARDAL,12.13.2013 01,9,6

LARDAL,12.13.2013 00,17,9

K?FJORD,12.13.2013 23,43,32

K?FJORD,12.13.2013 22,70,55

K?FJORD,12.13.2013 21,110,85

K?FJORD,12.13.2013 20,142,97

LOM,12.13.2013 15,422,267

LOM,12.13.2013 14,429,277

LOM,12.13.2013 13,317,221

LOM,12.13.2013 12,371,236

LOM,12.13.2013 11,330,195

LOM,12.13.2013 10,309,179

LOM,12.13.2013 09,298,178

LOM,12.13.2013 08,173,121

LOM,12.13.2013 07,94,67

LOM,12.13.2013 06,27,20

LOM,12.13.2013 05,7,7

LOM,12.13.2013 04,2,2

LOM,12.13.2013 03,2,1

LOM,12.13.2013 02,2,2

LOM,12.13.2013 01,4,4

LOM,12.13.2013 00,9,9

LIND?S,12.13.2013 23,389,269

LIND?S,12.13.2013 22,622,429

LIND?S,12.13.2013 21,778,525

LIND?S,12.13.2013 20,966,663

LIND?S,12.13.2013 19,1045,707

LIND?S,12.13.2013 18,1203,796

LIND?S,12.13.2013 17,1303,904

LIND?S,12.13.2013 16,1667,1096

LIND?S,12.13.2013 15,2145,1323

LIND?S,12.13.2013 14,2035,1274

LIND?S,12.13.2013 13,1867,1142

LIND?S,12.13.2013 12,1444,928

LIND?S,12.13.2013 11,1405,907

LIND?S,12.13.2013 10,1417,909

LIND?S,12.13.2013 09,1259,782

LIND?S,12.13.2013 08,920,604

LIND?S,12.13.2013 07,542,388

LIND?S,12.13.2013 06,146,109

LIND?S,12.13.2013 05,30,21

LIND?S,12.13.2013 04,8,8

LIND?S,12.13.2013 03,11,7

LIND?S,12.13.2013 02,10,10

LIND?S,12.13.2013 01,35,24

LIND?S,12.13.2013 00,59,44

LINDESNES,12.13.2013 23,113,76

LINDESNES,12.13.2013 22,148,87

LINDESNES,12.13.2013 21,196,142

LINDESNES,12.13.2013 20,285,208

LINDESNES,12.13.2013 19,285,199

LINDESNES,12.13.2013 18,322,241

LINDESNES,12.13.2013 17,384,262

LINDESNES,12.13.2013 16,479,327

LINDESNES,12.13.2013 15,693,439

LINDESNES,12.13.2013 14,678,406

LINDESNES,12.13.2013 13,475,317

LINDESNES,12.13.2013 12,483,291

LINDESNES,12.13.2013 11,404,268

LINDESNES,12.13.2013 10,396,269

LINDESNES,12.13.2013 09,320,227

LINDESNES,12.13.2013 08,238,164

LINDESNES,12.13.2013 07,131,98

LINDESNES,12.13.2013 06,39,25

LINDESNES,12.13.2013 05,21,16

LINDESNES,12.13.2013 04,6,5

LINDESNES,12.13.2013 03,3,3

LINDESNES,12.13.2013 02,4,3

LINDESNES,12.13.2013 01,8,8

LINDESNES,12.13.2013 00,19,15

LILLESAND,12.13.2013 23,246,165

LILLESAND,12.13.2013 22,285,217

LILLESAND,12.13.2013 21,385,279

LILLESAND,12.13.2013 20,486,360

LILLESAND,12.13.2013 19,585,444

LILLESAND,12.13.2013 18,684,490

LILLESAND,12.13.2013 17,844,602

LILLESAND,12.13.2013 16,1213,803

LILLESAND,12.13.2013 15,1582,997

LILLESAND,12.13.2013 14,1347,894

LILLESAND,12.13.2013 13,1182,725

LILLESAND,12.13.2013 12,1073,713

LILLESAND,12.13.2013 11,1043,682

LILLESAND,12.13.2013 10,1097,697

LILLESAND,12.13.2013 09,948,601

LILLESAND,12.13.2013 08,690,467

LILLESAND,12.13.2013 07,398,277

LILLESAND,12.13.2013 06,74,55

LILLESAND,12.13.2013 05,41,30

LILLESAND,12.13.2013 04,15,9

LILLESAND,12.13.2013 03,4,4

LILLESAND,12.13.2013 02,21,12

LILLESAND,12.13.2013 01,14,14

LILLESAND,12.13.2013 00,47,31

LILLEHAMMER,12.13.2013 23,427,267

LILLEHAMMER,12.13.2013 22,598,373

LILLEHAMMER,12.13.2013 21,662,455

LILLEHAMMER,12.13.2013 20,776,542

LILLEHAMMER,12.13.2013 19,999,711

LILLEHAMMER,12.13.2013 18,1279,886

LILLEHAMMER,12.13.2013 17,1514,1019

LILLEHAMMER,12.13.2013 16,2048,1334

MARKER,12.13.2013 02,4,3

MARKER,12.13.2013 01,2,2

MARKER,12.13.2013 00,14,12

MANDAL,12.13.2013 23,357,246

MANDAL,12.13.2013 22,436,300

MANDAL,12.13.2013 21,596,419

MANDAL,12.13.2013 20,773,512

MANDAL,12.13.2013 19,798,540

MANDAL,12.13.2013 18,976,668

MANDAL,12.13.2013 17,1244,825

MANDAL,12.13.2013 16,1577,1042

MANDAL,12.13.2013 15,1907,1201

MANDAL,12.13.2013 14,2019,1206

MANDAL,12.13.2013 13,1741,1059

MANDAL,12.13.2013 12,1491,918

MANDAL,12.13.2013 11,1435,878

MANDAL,12.13.2013 10,1420,864

MANDAL,12.13.2013 09,1236,735

MANDAL,12.13.2013 08,945,602

MANDAL,12.13.2013 07,494,348

MANDAL,12.13.2013 06,103,86

MANDAL,12.13.2013 05,13,12

MANDAL,12.13.2013 04,8,7

MANDAL,12.13.2013 03,12,10

MANDAL,12.13.2013 02,16,12

MANDAL,12.13.2013 01,22,20

MANDAL,12.13.2013 00,57,37

MALVIK,12.13.2013 23,235,169

MALVIK,12.13.2013 22,334,222

MALVIK,12.13.2013 21,403,305

MALVIK,12.13.2013 20,525,371

MALVIK,12.13.2013 19,627,449

MALVIK,12.13.2013 18,705,497

MALVIK,12.13.2013 17,899,623

MALVIK,12.13.2013 16,1274,853

MALVIK,12.13.2013 15,1289,826

MALVIK,12.13.2013 14,1418,889

MALVIK,12.13.2013 13,1002,656

MALVIK,12.13.2013 12,1043,637

MALVIK,12.13.2013 11,1024,622

MALVIK,12.13.2013 10,1036,653

MALVIK,12.13.2013 09,984,608

MALVIK,12.13.2013 08,763,458

MALVIK,12.13.2013 07,625,400

MALVIK,12.13.2013 06,169,112

MALVIK,12.13.2013 05,42,29

MALVIK,12.13.2013 04,37,20

MALVIK,12.13.2013 03,17,13

MALVIK,12.13.2013 02,43,33

MALVIK,12.13.2013 01,51,22

MALVIK,12.13.2013 00,91,52

L?TEN,12.13.2013 23,188,120

L?TEN,12.13.2013 22,307,219

L?TEN,12.13.2013 21,346,261

L?TEN,12.13.2013 20,340,274

L?TEN,12.13.2013 19,456,339

L?TEN,12.13.2013 18,611,453

L?TEN,12.13.2013 17,736,520

L?TEN,12.13.2013 16,845,627

L?TEN,12.13.2013 15,941,683

L?TEN,12.13.2013 14,878,600

L?TEN,12.13.2013 13,807,562

L?TEN,12.13.2013 12,714,492

L?TEN,12.13.2013 11,668,454

L?TEN,12.13.2013 10,652,441

L?TEN,12.13.2013 09,602,392

L?TEN,12.13.2013 08,440,316

L?TEN,12.13.2013 07,223,183

L?TEN,12.13.2013 06,79,69

L?TEN,12.13.2013 05,12,10

L?TEN,12.13.2013 04,5,5

L?TEN,12.13.2013 03,4,4

L?TEN,12.13.2013 02,10,9

L?TEN,12.13.2013 01,17,14

L?TEN,12.13.2013 00,39,35

L?RENSKOG,12.13.2013 23,429,279

L?RENSKOG,12.13.2013 22,597,414

L?RENSKOG,12.13.2013 21,682,469

L?RENSKOG,12.13.2013 20,944,633

L?RENSKOG,12.13.2013 19,1097,737

L?RENSKOG,12.13.2013 18,1265,862

L?RENSKOG,12.13.2013 17,1661,1072

L?RENSKOG,12.13.2013 16,2191,1403

L?RENSKOG,12.13.2013 15,2662,1730

L?RENSKOG,12.13.2013 14,2588,1606

L?RENSKOG,12.13.2013 13,2417,1531

L?RENSKOG,12.13.2013 12,2211,1365

L?RENSKOG,12.13.2013 11,1963,1231

L?RENSKOG,12.13.2013 10,2004,1278

L?RENSKOG,12.13.2013 09,1596,994

L?RENSKOG,12.13.2013 08,1186,796

L?RENSKOG,12.13.2013 07,649,477

L?RENSKOG,12.13.2013 06,173,145

L?RENSKOG,12.13.2013 05,41,33

L?RENSKOG,12.13.2013 04,19,15

L?RENSKOG,12.13.2013 03,10,8

MOSKENES,12.13.2013 19,124,93

MOSKENES,12.13.2013 18,91,64

MOSKENES,12.13.2013 17,88,65

MOSKENES,12.13.2013 16,94,66

MOSKENES,12.13.2013 15,137,84

MOSKENES,12.13.2013 14,169,117

MOSKENES,12.13.2013 13,176,111

MOSKENES,12.13.2013 12,138,93

MOSKENES,12.13.2013 11,130,90

MOSKENES,12.13.2013 10,120,81

MOSKENES,12.13.2013 09,130,82

MOSKENES,12.13.2013 08,61,37

MOSKENES,12.13.2013 07,39,27

MOSKENES,12.13.2013 06,11,10

MOSKENES,12.13.2013 05,1,1

MOSKENES,12.13.2013 04,4,4

MOSKENES,12.13.2013 03,1,1

MOSKENES,12.13.2013 02,3,3

MOSKENES,12.13.2013 01,3,2

MOSKENES,12.13.2013 00,9,8

MOLDE,12.13.2013 23,398,257

MOLDE,12.13.2013 22,620,345

MOLDE,12.13.2013 21,540,390

MOLDE,12.13.2013 20,743,526

MOLDE,12.13.2013 19,922,640

MOLDE,12.13.2013 18,1276,854

MOLDE,12.13.2013 17,1457,974

MOLDE,12.13.2013 16,2032,1292

MOLDE,12.13.2013 15,2754,1679

MOLDE,12.13.2013 14,2637,1610

MOLDE,12.13.2013 13,2393,1446

MOLDE,12.13.2013 12,2003,1252

MOLDE,12.13.2013 11,1857,1188

MOLDE,12.13.2013 10,1780,1129

MOLDE,12.13.2013 09,1685,994

MOLDE,12.13.2013 08,1170,733

MOLDE,12.13.2013 07,532,377

MOLDE,12.13.2013 06,100,70

MOLDE,12.13.2013 05,28,20

MOLDE,12.13.2013 04,11,11

MOLDE,12.13.2013 03,51,10

MOLDE,12.13.2013 02,19,12

MOLDE,12.13.2013 01,75,24

MOLDE,12.13.2013 00,121,74

MODUM,12.13.2013 23,320,193

MODUM,12.13.2013 22,496,299

MODUM,12.13.2013 21,562,400

MODUM,12.13.2013 20,653,471

MODUM,12.13.2013 19,760,553

MODUM,12.13.2013 18,816,597

MODUM,12.13.2013 17,1090,779

MODUM,12.13.2013 16,1371,931

MODUM,12.13.2013 15,1568,1043

MODUM,12.13.2013 14,1602,1058

MODUM,12.13.2013 13,1462,904

MODUM,12.13.2013 12,1237,791

MODUM,12.13.2013 11,1147,751

MODUM,12.13.2013 10,1232,761

MODUM,12.13.2013 09,1070,664

MODUM,12.13.2013 08,858,556

MODUM,12.13.2013 07,470,318

MODUM,12.13.2013 06,159,115

MODUM,12.13.2013 05,65,29

MODUM,12.13.2013 04,35,17

MODUM,12.13.2013 03,27,8

MODUM,12.13.2013 02,29,6

MODUM,12.13.2013 01,32,17

MODUM,12.13.2013 00,75,46

MODALEN,12.13.2013 23,1,1

MODALEN,12.13.2013 22,12,10

MODALEN,12.13.2013 21,15,12

MODALEN,12.13.2013 20,24,16

MODALEN,12.13.2013 19,19,16

MODALEN,12.13.2013 18,31,22

MODALEN,12.13.2013 17,36,22

MODALEN,12.13.2013 16,51,34

MODALEN,12.13.2013 15,36,20

MODALEN,12.13.2013 14,49,28

MODALEN,12.13.2013 13,30,21

MODALEN,12.13.2013 12,38,26

MODALEN,12.13.2013 11,24,20

MODALEN,12.13.2013 10,22,15

MODALEN,12.13.2013 09,33,18

MODALEN,12.13.2013 08,26,16

MODALEN,12.13.2013 07,4,4

MODALEN,12.13.2013 06,1,1

MODALEN,12.13.2013 05,2,2

MODALEN,12.13.2013 04,1,1

MODALEN,12.13.2013 00,1,1

MIDTRE GAULDAL,12.13.2013 23,160,97

MIDTRE GAULDAL,12.13.2013 22,270,175

MIDTRE GAULDAL,12.13.2013 21,376,260

MIDTRE GAULDAL,12.13.2013 20,413,301

MIDTRE GAULDAL,12.13.2013 19,489,331

MIDTRE GAULDAL,12.13.2013 18,592,413

MIDTRE GAULDAL,12.13.2013 17,658,466

NESODDEN,12.13.2013 05,23,18

NESODDEN,12.13.2013 04,6,6

NESODDEN,12.13.2013 03,14,10

NESODDEN,12.13.2013 02,9,7

NESODDEN,12.13.2013 01,27,19

NESODDEN,12.13.2013 00,50,41

NESNA,12.13.2013 23,40,29

NESNA,12.13.2013 22,83,58

NESNA,12.13.2013 21,92,76

NESNA,12.13.2013 20,140,90

NESNA,12.13.2013 19,130,106

NESNA,12.13.2013 18,142,101

NESNA,12.13.2013 17,160,109

NESNA,12.13.2013 16,176,116

NESNA,12.13.2013 15,198,123

NESNA,12.13.2013 14,198,134

NESNA,12.13.2013 13,168,122

NESNA,12.13.2013 12,169,116

NESNA,12.13.2013 11,202,141

NESNA,12.13.2013 10,183,118

NESNA,12.13.2013 09,148,100

NESNA,12.13.2013 08,72,54

NESNA,12.13.2013 07,44,35

NESNA,12.13.2013 06,9,7

NESNA,12.13.2013 05,4,4

NESNA,12.13.2013 04,1,1

NESNA,12.13.2013 03,1,1

NESNA,12.13.2013 01,6,3

NESNA,12.13.2013 00,7,5

NES-BUSKERUD,12.13.2013 23,75,60

NES-BUSKERUD,12.13.2013 22,147,107

NES-BUSKERUD,12.13.2013 21,208,149

NES-BUSKERUD,12.13.2013 20,243,173

NES-BUSKERUD,12.13.2013 19,323,214

NES-BUSKERUD,12.13.2013 18,325,225

NES-BUSKERUD,12.13.2013 17,357,256

NES-BUSKERUD,12.13.2013 16,401,297

NES-BUSKERUD,12.13.2013 15,501,304

NES-BUSKERUD,12.13.2013 14,506,336

NES-BUSKERUD,12.13.2013 13,448,290

NES-BUSKERUD,12.13.2013 12,366,247

NES-BUSKERUD,12.13.2013 11,391,242

NES-BUSKERUD,12.13.2013 10,346,226

NES-BUSKERUD,12.13.2013 09,329,210

NES-BUSKERUD,12.13.2013 08,244,158

NES-BUSKERUD,12.13.2013 07,144,100

NES-BUSKERUD,12.13.2013 06,37,26

NES-BUSKERUD,12.13.2013 05,6,3

NES-BUSKERUD,12.13.2013 04,3,2

NES-BUSKERUD,12.13.2013 03,8,5

NES-BUSKERUD,12.13.2013 02,5,3

NES-BUSKERUD,12.13.2013 01,5,5

NES-BUSKERUD,12.13.2013 00,24,14

NES-AKERSHUS,12.13.2013 23,225,165

NES-AKERSHUS,12.13.2013 22,412,281

NES-AKERSHUS,12.13.2013 21,536,393

NES-AKERSHUS,12.13.2013 20,610,457

NES-AKERSHUS,12.13.2013 19,824,568

NES-AKERSHUS,12.13.2013 18,986,668

NES-AKERSHUS,12.13.2013 17,1172,803

NES-AKERSHUS,12.13.2013 16,1495,1025

NES-AKERSHUS,12.13.2013 15,1806,1152

NES-AKERSHUS,12.13.2013 14,1652,1068

NES-AKERSHUS,12.13.2013 13,1341,897

NES-AKERSHUS,12.13.2013 12,1172,755

NES-AKERSHUS,12.13.2013 11,1233,756

NES-AKERSHUS,12.13.2013 10,1145,758

NES-AKERSHUS,12.13.2013 09,1012,659

NES-AKERSHUS,12.13.2013 08,812,535

NES-AKERSHUS,12.13.2013 07,412,296

NES-AKERSHUS,12.13.2013 06,165,115

NES-AKERSHUS,12.13.2013 05,66,35

NES-AKERSHUS,12.13.2013 04,32,16

NES-AKERSHUS,12.13.2013 03,13,11

NES-AKERSHUS,12.13.2013 02,25,14

NES-AKERSHUS,12.13.2013 01,36,28

NES-AKERSHUS,12.13.2013 00,84,61

NEDRE EIKER,12.13.2013 23,246,180

NEDRE EIKER,12.13.2013 22,433,303

NEDRE EIKER,12.13.2013 21,594,408

NEDRE EIKER,12.13.2013 20,761,545

NEDRE EIKER,12.13.2013 19,958,655

NEDRE EIKER,12.13.2013 18,1194,794

NEDRE EIKER,12.13.2013 17,1452,975

NEDRE EIKER,12.13.2013 16,1779,1175

NEDRE EIKER,12.13.2013 15,1892,1253

NEDRE EIKER,12.13.2013 14,1935,1220

NEDRE EIKER,12.13.2013 13,1756,1120

NEDRE EIKER,12.13.2013 12,1491,951

NEDRE EIKER,12.13.2013 11,1382,913

NEDRE EIKER,12.13.2013 10,1309,813

NEDRE EIKER,12.13.2013 09,1133,701

NEDRE EIKER,12.13.2013 08,793,529

NEDRE EIKER,12.13.2013 07,526,377

NEDRE EIKER,12.13.2013 06,159,115

NEDRE EIKER,12.13.2013 05,49,35

NORE OG UVDAL,12.13.2013 02,1,1

NORE OG UVDAL,12.13.2013 01,2,2

NORE OG UVDAL,12.13.2013 00,6,4

NORDREISA,12.13.2013 23,97,78

NORDREISA,12.13.2013 22,199,144

NORDREISA,12.13.2013 21,240,179

NORDREISA,12.13.2013 20,376,242

NORDREISA,12.13.2013 19,390,252

NORDREISA,12.13.2013 18,349,241

NORDREISA,12.13.2013 17,408,263

NORDREISA,12.13.2013 16,487,316

NORDREISA,12.13.2013 15,650,403

NORDREISA,12.13.2013 14,671,420

NORDREISA,12.13.2013 13,619,378

NORDREISA,12.13.2013 12,553,344

NORDREISA,12.13.2013 11,576,355

NORDREISA,12.13.2013 10,550,334

NORDREISA,12.13.2013 09,444,260

NORDREISA,12.13.2013 08,314,194

NORDREISA,12.13.2013 07,152,106

NORDREISA,12.13.2013 06,42,32

NORDREISA,12.13.2013 05,16,9

NORDREISA,12.13.2013 04,71,11

NORDREISA,12.13.2013 03,101,12

NORDREISA,12.13.2013 02,114,12

NORDREISA,12.13.2013 01,37,19

NORDREISA,12.13.2013 00,52,37

NORDRE LAND,12.13.2013 23,206,148

NORDRE LAND,12.13.2013 22,286,200

NORDRE LAND,12.13.2013 21,356,259

NORDRE LAND,12.13.2013 20,486,368

NORDRE LAND,12.13.2013 19,461,331

NORDRE LAND,12.13.2013 18,571,426

NORDRE LAND,12.13.2013 17,725,520

NORDRE LAND,12.13.2013 16,901,600

NORDRE LAND,12.13.2013 15,1160,746

NORDRE LAND,12.13.2013 14,1057,689

NORDRE LAND,12.13.2013 13,1094,681

NORDRE LAND,12.13.2013 12,836,541

NORDRE LAND,12.13.2013 11,811,541

NORDRE LAND,12.13.2013 10,834,532

NORDRE LAND,12.13.2013 09,723,483

NORDRE LAND,12.13.2013 08,561,378

NORDRE LAND,12.13.2013 07,317,210

NORDRE LAND,12.13.2013 06,74,59

NORDRE LAND,12.13.2013 05,20,15

NORDRE LAND,12.13.2013 04,13,8

NORDRE LAND,12.13.2013 03,50,10

NORDRE LAND,12.13.2013 02,95,9

NORDRE LAND,12.13.2013 01,106,10

NORDRE LAND,12.13.2013 00,32,30

NORDKAPP,12.13.2013 23,147,95

NORDKAPP,12.13.2013 22,172,121

NORDKAPP,12.13.2013 21,214,147

NORDKAPP,12.13.2013 20,300,211

NORDKAPP,12.13.2013 19,268,200

NORDKAPP,12.13.2013 18,253,184

NORDKAPP,12.13.2013 17,211,164

NORDKAPP,12.13.2013 16,310,207

NORDKAPP,12.13.2013 15,396,252

NORDKAPP,12.13.2013 14,478,297

NORDKAPP,12.13.2013 13,478,309

NORDKAPP,12.13.2013 12,437,274

NORDKAPP,12.13.2013 11,420,275

NORDKAPP,12.13.2013 10,396,239

NORDKAPP,12.13.2013 09,240,171

NORDKAPP,12.13.2013 08,184,133

NORDKAPP,12.13.2013 07,76,56

NORDKAPP,12.13.2013 06,23,15

NORDKAPP,12.13.2013 05,10,8

NORDKAPP,12.13.2013 04,5,5

NORDKAPP,12.13.2013 03,5,5

NORDKAPP,12.13.2013 02,22,19

NORDKAPP,12.13.2013 01,19,16

NORDKAPP,12.13.2013 00,48,31

NORDDAL,12.13.2013 23,43,33

NORDDAL,12.13.2013 22,76,54

NORDDAL,12.13.2013 21,96,69

NORDDAL,12.13.2013 20,105,71

NORDDAL,12.13.2013 19,158,99

NORDDAL,12.13.2013 18,134,100

NORDDAL,12.13.2013 17,148,106

NORE OG UVDAL,12.13.2013 17,352,225

NORE OG UVDAL,12.13.2013 16,352,231

NORE OG UVDAL,12.13.2013 15,412,264

NORE OG UVDAL,12.13.2013 14,432,283

NORE OG UVDAL,12.13.2013 13,272,171

NORE OG UVDAL,12.13.2013 12,302,190

NORE OG UVDAL,12.13.2013 11,342,221

NORE OG UVDAL,12.13.2013 10,387,220

NORE OG UVDAL,12.13.2013 09,328,197

NORE OG UVDAL,12.13.2013 08,223,143

NORE OG UVDAL,12.13.2013 07,79,60

NORE OG UVDAL,12.13.2013 06,17,14

NORE OG UVDAL,12.13.2013 05,4,4

NORE OG UVDAL,12.13.2013 04,1,1

FINN?Y,12.13.2013 10,248,154

50

20 05 15 15 51

Repo 3 ndd 50

FARSUND,12.13.2013 08,467,292

AUKRA,12.13.2013 09,181,125

13.12.13 429 MUNICIPALITIES 24 HOURS ALL PHONECALLS

AGDENES,12.13.2013 03,3,2

AGDENES,12.13.2013 02,3,3

AGDENES,12.13.2013 01,9,8

AGDENES,12.13.2013 00,12,9

BERGEN,12.13.2013 03,133,77

BERGEN,12.13.2013 02,214,112

BERGEN,12.13.2013 01,278,144

BERGEN,12.13.2013 00,426,263

BERG,12.13.2013 23,61,41

EIDSVOLL,12.13.2013 01,38,34

EIDSVOLL,12.13.2013 00,99,77

EIDSKOG,12.13.2013 23,98,58

EIDSKOG,12.13.2013 22,134,94

EIDSKOG,12.13.2013 21,235,155

FINN?Y,12.13.2013 16,275,180

FINN?Y,12.13.2013 15,317,205

FINN?Y,12.13.2013 14,312,205

FINN?Y,12.13.2013 13,266,165

FINN?Y,12.13.2013 12,268,197

FINN?Y,12.13.2013 11,245,155

JONDAL,12.13.2013 01,1,1

JONDAL,12.13.2013 00,10,5

JEVNAKER,12.13.2013 23,120,96

JEVNAKER,12.13.2013 22,201,151

JEVNAKER,12.13.2013 21,239,174

JEVNAKER,12.13.2013 20,274,215

KR?DSHERAD,12.13.2013 16,362,248

KR?DSHERAD,12.13.2013 15,457,293

KR?DSHERAD,12.13.2013 14,461,282

KR?DSHERAD,12.13.2013 13,350,198

KR?DSHERAD,12.13.2013 12,324,203

KR?DSHERAD,12.13.2013 11,323,206

LEIKANGER,12.13.2013 05,3,3

LEIKANGER,12.13.2013 02,2,2

LEIKANGER,12.13.2013 01,9,8

LEIKANGER,12.13.2013 00,7,5

LEBESBY,12.13.2013 23,53,41

LEBESBY,12.13.2013 22,82,60

LOM,12.13.2013 22,116,90

LOM,12.13.2013 21,177,123

LOM,12.13.2013 20,157,121

LOM,12.13.2013 19,203,139

LOM,12.13.2013 18,216,140

LOM,12.13.2013 17,210,139

LOM,12.13.2013 16,281,204

MARKER,12.13.2013 09,325,198

MARKER,12.13.2013 08,224,159

MARKER,12.13.2013 07,100,72

MARKER,12.13.2013 06,33,28

MARKER,12.13.2013 05,6,6

MARKER,12.13.2013 04,2,2

MARKER,12.13.2013 03,4,3

MOSS,12.13.2013 02,38,30

MOSS,12.13.2013 01,52,37

MOSS,12.13.2013 00,117,73

MOSKENES,12.13.2013 23,49,39

MOSKENES,12.13.2013 22,70,51

MOSKENES,12.13.2013 21,92,72

MOSKENES,12.13.2013 20,104,73

NESODDEN,12.13.2013 15,1603,1005

NESODDEN,12.13.2013 14,1466,902

NESODDEN,12.13.2013 13,1175,763

NESODDEN,12.13.2013 12,1022,675

NESODDEN,12.13.2013 11,1157,712

NESODDEN,12.13.2013 10,1013,654

NESODDEN,12.13.2013 09,981,659

NESODDEN,12.13.2013 08,753,532

NESODDEN,12.13.2013 07,330,250

NESODDEN,12.13.2013 06,89,71

AGDENES,12.13.2013 04,1,1 EIDSVOLL,12.13.2013 02,25,19

LEIKANGER,12.13.2013 06,9,7

BERGEN,12.13.2013 04,128,61 KR?DSHERAD,12.13.2013 17,379,250

AGDENES,12.13.2013 05,9,6 JONDAL,12.13.2013 03,3,2

EIDSVOLL,12.13.2013 03,26,17

FINN?Y,12.13.2013 17,205,153

BERGEN,12.13.2013 05,166,100

MOSS,12.13.2013 03,32,22

AGDENES,12.13.2013 06,28,15

MARKER,12.13.2013 10,325,200

LUND,12.13.2013 16,414,273

LUND,12.13.2013 17,333,220

LUND,12.13.2013 18,270,194

LUND,12.13.2013 19,226,153

LUND,12.13.2013 20,254,164

LUND,12.13.2013 21,204,129

LUND,12.13.2013 22,139,84

LUND,12.13.2013 23,122,65

LUNNER,12.13.2013 00,48,42

LUNNER,12.13.2013 01,16,15

LUNNER,12.13.2013 02,17,15

LUNNER,12.13.2013 03,11,8

LUNNER,12.13.2013 04,7,7

LUNNER,12.13.2013 05,32,27

LUNNER,12.13.2013 06,105,78 LUNNER,12.13.2013 07,354,244 LUNNER,12.13.2013 08,537,379 LUNNER,12.13.2013 09,705,474 LUNNER,12.13.2013 10,804,517 LUNNER,12.13.2013 11,766,486 LUNNER,12.13.2013 12,875,558

LUNNER,12.13.2013 15,1187,790 LUNNER,12.13.2013 16,1152,781

LUR?Y,12.13.2013 14,271,194 LUR?Y,12.13.2013 15,309,211 LUR?Y,12.13.2013 16,186,132 LUR?Y,12.13.2013 17,176,129 LUR?Y,12.13.2013 18,156,128

LUSTER,12.13.2013 14,696,457 LUSTER,12.13.2013 15,701,466 LUSTER,12.13.2013 16,582,394 LUSTER,12.13.2013 17,506,348 LUSTER,12.13.2013 18,386,282 LUSTER,12.13.2013 19,444,311 LUSTER,12.13.2013 20,352,258

LYNGDAL,12.13.2013 10,873,558 LYNGDAL,12.13.2013 11,869,558

LYNGEN,12.13.2013 13,392,252 LYNGEN,12.13.2013 14,391,267 LYNGEN,12.13.2013 15,395,248 LYNGEN,12.13.2013 16,359,248

span o 24 hou s om Te eno

We go m ned da a s mp e da ase o be sen o us as a csv

NORD-FRON,12.13.2013 05,17,11

NORD-FRON,12.13.2013 04,7,4

NORD-FRON,12.13.2013 03,8,6

NORD-FRON,12.13.2013 02,17,13

NORD-FRON,12.13.2013 01,29,19

NORD-FRON,12.13.2013 00,29,23

NORD-AURDAL,12.13.2013 23,217,160

NORD-AURDAL,12.13.2013 22,343,245

NORD-AURDAL,12.13.2013 21,411,324

NORD-AURDAL,12.13.2013 20,583,426

NORD-AURDAL,12.13.2013 19,775,546

NORD-AURDAL,12.13.2013 18,792,578

NORD-AURDAL,12.13.2013 17,920,663

NORD-AURDAL,12.13.2013 16,1338,908

NORD-AURDAL,12.13.2013 15,1593,1033

NORD-AURDAL,12.13.2013 14,1624,1029

NORD-AURDAL,12.13.2013 13,1417,899

NORD-AURDAL,12.13.2013 12,1288,824

NORD-AURDAL,12.13.2013 11,1260,798

NORD-AURDAL,12.13.2013 10,1227,775

NORD-AURDAL,12.13.2013 09,1072,657

NORD-AURDAL,12.13.2013 08,701,473

NORD-AURDAL,12.13.2013 07,352,259

NORD-AURDAL,12.13.2013 06,70,57

NORD-AURDAL,12.13.2013 05,8,7

NORD-AURDAL,12.13.2013 04,4,4

NORD-AURDAL,12.13.2013 03,12,7

NORD-AURDAL,12.13.2013 02,8,7

NORD-AURDAL,12.13.2013 01,27,19

NORD-AURDAL,12.13.2013 00,39,31

NOME,12.13.2013 23,208,122

NOME,12.13.2013 22,227,156

NOME,12.13.2013 21,343,218

NOME,12.13.2013 20,360,254

NOME,12.13.2013 19,389,276

NOME,12.13.2013 18,467,347

NOME,12.13.2013 17,607,412

NOME,12.13.2013 16,681,471

NOME,12.13.2013 15,776,514

NOME,12.13.2013 14,812,511

NOME,12.13.2013 13,644,400

NOME,12.13.2013 12,573,384

NOME,12.13.2013 11,580,387

NOME,12.13.2013 10,647,404

NOME,12.13.2013 09,491,326

NOME,12.13.2013 08,355,251

NOME,12.13.2013 07,221,160

NOME,12.13.2013 06,54,38

NOME,12.13.2013 05,12,12

NOME,12.13.2013 04,9,4

NOME,12.13.2013 03,53,4

NOME,12.13.2013 02,55,9

NOME,12.13.2013 01,51,15

NOME,12.13.2013 00,60,27

NITTEDAL,12.13.2013 23,273,186

NITTEDAL,12.13.2013 22,351,243

NITTEDAL,12.13.2013 21,452,326

NITTEDAL,12.13.2013 20,634,432

NITTEDAL,12.13.2013 19,791,526

NITTEDAL,12.13.2013 18,875,600

NITTEDAL,12.13.2013 17,1138,777

NITTEDAL,12.13.2013 16,1478,962

NITTEDAL,12.13.2013 15,1688,1061

NITTEDAL,12.13.2013 14,1798,1109

NITTEDAL,12.13.2013 13,1425,867

NITTEDAL,12.13.2013 12,1291,792

NITTEDAL,12.13.2013 11,1192,736

NITTEDAL,12.13.2013 10,1160,711

NITTEDAL,12.13.2013 09,1155,715

NITTEDAL,12.13.2013 08,884,596

NITTEDAL,12.13.2013 07,482,372

NITTEDAL,12.13.2013 06,179,126

NITTEDAL,12.13.2013 05,35,25

NITTEDAL,12.13.2013 04,19,16

NITTEDAL,12.13.2013 03,16,10

NITTEDAL,12.13.2013 02,17,14

NITTEDAL,12.13.2013 01,25,22

NITTEDAL,12.13.2013 00,66,45

NISSEDAL,12.13.2013 23,46,36

NISSEDAL,12.13.2013 22,67,46

NISSEDAL,12.13.2013 21,94,66

NISSEDAL,12.13.2013 20,102,78

NISSEDAL,12.13.2013 19,169,110

NISSEDAL,12.13.2013 18,131,93

NISSEDAL,12.13.2013 17,114,75

NISSEDAL,12.13.2013 16,169,122

NISSEDAL,12.13.2013 15,182,136

NISSEDAL,12.13.2013 14,183,125

NISSEDAL,12.13.2013 13,204,129

NISSEDAL,12.13.2013 12,189,106

NISSEDAL,12.13.2013 11,156,91

NISSEDAL,12.13.2013 10,150,103

NISSEDAL,12.13.2013 09,144,95

NISSEDAL,12.13.2013 08,120,76

NISSEDAL,12.13.2013 07,66,43

NISSEDAL,12.13.2013 06,13,9

NISSEDAL,12.13.2013 05,2,1

NISSEDAL,12.13.2013 04,1,1

NISSEDAL,12.13.2013 03,6,3

NISSEDAL,12.13.2013 02,2,2

NISSEDAL,12.13.2013 01,3,2

NISSEDAL,12.13.2013 00,8,6

NESSET,12.13.2013 23,93,62

NESSET,12.13.2013 22,93,61

NESSET,12.13.2013 21,126,101

NESSET,12.13.2013 20,136,100

NESSET,12.13.2013 19,128,107

NESSET,12.13.2013 18,153,107

NESSET,12.13.2013 17,190,127

NESSET,12.13.2013 16,224,153

NESSET,12.13.2013 15,259,171

NESSET,12.13.2013 14,244,163

NESSET,12.13.2013 13,242,153

NESSET,12.13.2013 12,201,131

NESSET,12.13.2013 11,198,124

NESSET,12.13.2013 10,174,128

NESSET,12.13.2013 09,169,119

NESSET,12.13.2013 08,144,101

NESSET,12.13.2013 07,76,54

NESSET,12.13.2013 06,26,18

NESSET,12.13.2013 05,6,2

NESSET,12.13.2013 04,3,1

NESSET,12.13.2013 03,3,2

NESSET,12.13.2013 02,11,4

NESSET,12.13.2013 01,6,5

NESSET,12.13.2013 00,13,8

NESSEBY,12.13.2013 23,21,12

NESSEBY,12.13.2013 22,49,26

NESSEBY,12.13.2013 21,36,23

NESSEBY,12.13.2013 20,43,29

NESSEBY,12.13.2013 19,72,44

NESSEBY,12.13.2013 18,72,56

NESSEBY,12.13.2013 17,84,60

NESSEBY,12.13.2013 16,80,45

NESSEBY,12.13.2013 15,100,66

NESSEBY,12.13.2013 14,75,56

NESSEBY,12.13.2013 13,96,64

NESSEBY,12.13.2013 12,91,58

NESSEBY,12.13.2013 11,93,61

NESSEBY,12.13.2013 10,131,68

NESSEBY,12.13.2013 09,100,61

NESSEBY,12.13.2013 08,80,48

NESSEBY,12.13.2013 07,37,24

NESSEBY,12.13.2013 06,7,5

NESSEBY,12.13.2013 05,3,3

NESSEBY,12.13.2013 04,5,1

NESSEBY,12.13.2013 03,2,1

NESSEBY,12.13.2013 01,3,2

NESSEBY,12.13.2013 00,7,6

NESODDEN,12.13.2013 23,258,195

NESODDEN,12.13.2013 22,355,244

NESODDEN,12.13.2013 21,486,331

NESODDEN,12.13.2013 20,628,433

NESODDEN,12.13.2013 19,690,469

NESODDEN,12.13.2013 18,894,596

NESODDEN,12.13.2013 17,1128,801

NESODDEN,12.13.2013 16,1334,888

LOM,12.13.2013 23,66,45

FINN?Y,12.13.2013 18,189,127

LEIKANGER,12.13.2013 07,91,75

EIDSVOLL,12.13.2013 04,32,18

KR?DSHERAD,12.13.2013 18,260,196

BERGEN,12.13.2013 06,627,456

JONDAL,12.13.2013 04,2,2

AGDENES,12.13.2013 07,85,53

MOSS,12.13.2013 04,32,23

JONDAL,12.13.2013 05,2,2

MARKER,12.13.2013 11,314,183

FINN?Y,12.13.2013 19,177,116

LOPPA,12.13.2013 00,14,9

EIDSVOLL,12.13.2013 05,59,47

LEIKANGER,12.13.2013 08,222,174

BERGEN,12.13.2013 07,2388,1580 KR?DSHERAD,12.13.2013 20,193,138

KR?DSHERAD,12.13.2013 19,225,180

AGDENES,12.13.2013 08,143,88 JONDAL,12.13.2013 06,11,9

MOSS,12.13.2013 05,46,35

FINN?Y,12.13.2013 20,150,113

LEIKANGER,12.13.2013 10,318,219

MARKER,12.13.2013 12,351,213

EIDSVOLL,12.13.2013 06,172,124 KR?DSHERAD,12.13.2013 21,164,121

LOPPA,12.13.2013 03,1,1

LOPPA,12.13.2013 01,8,6

BERGEN,12.13.2013 08,4298,2512 JONDAL,12.13.2013 07,37,26

LEIKANGER,12.13.2013 11,282,199

LEIKANGER,12.13.2013 09,289,188

AGDENES,12.13.2013 09,125,89 FINN?Y,12.13.2013 21,101,79 KR?DSHERAD,12.13.2013 22,108,78

LOPPA,12.13.2013 05,5,4

MOSS,12.13.2013 06,179,135

EIDSVOLL,12.13.2013 07,619,431 JONDAL,12.13.2013 08,75,55

LEIKANGER,12.13.2013 12,308,212

MARKER,12.13.2013 13,328,213

BERGEN,12.13.2013 09,5634,3123 FINN?Y,12.13.2013 22,95,63 KR?DSHERAD,12.13.2013 23,61,52

LOPPA,12.13.2013 06,23,18

LOPPA,12.13.2013 02,8,7

AGDENES,12.13.2013 10,155,107 EIDSVOLL,12.13.2013 08,1115,702 JONDAL,12.13.2013 09,112,67

LEIKANGER,12.13.2013 13,330,224

MOSS,12.13.2013 07,736,529

BERGEN,12.13.2013 10,6488,3645 FINN?Y,12.13.2013 23,76,45 KVALSUND,12.13.2013 00,31,10

LOPPA,12.13.2013 07,64,46

MARKER,12.13.2013 14,409,256

AGDENES,12.13.2013 11,147,100 EIDSVOLL,12.13.2013 09,1304,794 JONDAL,12.13.2013 10,115,84

LEIKANGER,12.13.2013 14,476,323

MOSS,12.13.2013 08,1277,835

BERGEN,12.13.2013 11,6965,3979 FITJAR,12.13.2013 00,12,10 KVALSUND,12.13.2013 01,2,2

LOPPA,12.13.2013 08,145,81

MARKER,12.13.2013 15,409,265

AGDENES,12.13.2013 12,156,100 EIDSVOLL,12.13.2013 10,1545,913 JONDAL,12.13.2013 11,91,65

LEIKANGER,12.13.2013 15,431,302

MOSS,12.13.2013 09,1848,1185

BERGEN,12.13.2013 12,8093,4455 FITJAR,12.13.2013 01,10,5 KVALSUND,12.13.2013 02,18,5

LOPPA,12.13.2013 09,131,76

MARKER,12.13.2013 16,338,232

AGDENES,12.13.2013 13,169,112 EIDSVOLL,12.13.2013 11,1375,898 JONDAL,12.13.2013 12,118,78

LEIKANGER,12.13.2013 16,348,249

MOSS,12.13.2013 10,2119,1304

BERGEN,12.13.2013 13,8603,4767 FITJAR,12.13.2013 02,42,3

KVALSUND,12.13.2013 03,13,3

LOPPA,12.13.2013 10,113,75

MARKER,12.13.2013 17,243,163

AGDENES,12.13.2013 14,133,101 EIDSVOLL,12.13.2013 12,1526,941 JONDAL,12.13.2013 13,136,109

LEIKANGER,12.13.2013 17,263,190

MOSS,12.13.2013 11,2289,1409

BERGEN,12.13.2013 14,9758,5277 FITJAR,12.13.2013 03,4,2

KVALSUND,12.13.2013 04,14,9

LOPPA,12.13.2013 11,99,71

MARKER,12.13.2013 18,216,143

AGDENES,12.13.2013 15,132,97 EIDSVOLL,12.13.2013 13,1793,1095 JONDAL,12.13.2013 14,138,100

LEIKANGER,12.13.2013 18,241,176

MOSS,12.13.2013 12,2355,1480

BERGEN,12.13.2013 15,9299,5223 FITJAR,12.13.2013 04,13,5

KVALSUND,12.13.2013 05,21,12

LOPPA,12.13.2013 12,127,90

MARKER,12.13.2013 19,203,149

AGDENES,12.13.2013 16,93,78 EIDSVOLL,12.13.2013 14,1961,1220 JONDAL,12.13.2013 15,141,99

LEIKANGER,12.13.2013 19,236,177

MOSS,12.13.2013 13,2793,1722

BERGEN,12.13.2013 16,7223,4255 FITJAR,12.13.2013 05,3,3

KVALSUND,12.13.2013 06,13,12

LOPPA,12.13.2013 13,142,97

MARKER,12.13.2013 20,189,129

AGDENES,12.13.2013 17,65,54 EIDSVOLL,12.13.2013 15,1916,1179 JONDAL,12.13.2013 16,107,69

LEIKANGER,12.13.2013 20,153,128

MOSS,12.13.2013 14,3211,1962

BERGEN,12.13.2013 17,5346,3314 FITJAR,12.13.2013 06,30,24

KVALSUND,12.13.2013 07,57,35

LOPPA,12.13.2013 14,133,86

MARKER,12.13.2013 21,134,98

AGDENES,12.13.2013 18,92,78 EIDSVOLL,12.13.2013 16,1695,1081 JONDAL,12.13.2013 17,107,68

LEIKANGER,12.13.2013 21,146,116

MOSS,12.13.2013 15,3569,2094

BERGEN,12.13.2013 18,4700,2958 FITJAR,12.13.2013 07,114,78

KVALSUND,12.13.2013 08,94,60

LOPPA,12.13.2013 15,169,92

MARKER,12.13.2013 22,94,71

AGDENES,12.13.2013 19,70,59 EIDSVOLL,12.13.2013 17,1351,926 JONDAL,12.13.2013 18,76,57

LEIKANGER,12.13.2013 22,135,91

MOSS,12.13.2013 16,3193,1942

BERGEN,12.13.2013 19,4306,2691 FITJAR,12.13.2013 08,198,136

KVALSUND,12.13.2013 09,175,108

LOPPA,12.13.2013 16,121,79

MARKER,12.13.2013 23,47,36

AGDENES,12.13.2013 20,69,53 EIDSVOLL,12.13.2013 18,1116,758 JONDAL,12.13.2013 19,61,49

LEIKANGER,12.13.2013 23,80,59

MOSS,12.13.2013 17,2352,1460

BERGEN,12.13.2013 20,3311,2096 FITJAR,12.13.2013 09,216,149

KVALSUND,12.13.2013 10,226,119

LOPPA,12.13.2013 17,101,73

MARNARDAL,12.13.2013 00,14,8

AGDENES,12.13.2013 21,64,52 EIDSVOLL,12.13.2013 19,907,639 JONDAL,12.13.2013 20,68,57

LEIRFJORD,12.13.2013 00,14,10

MOSS,12.13.2013 18,1864,1205

BERGEN,12.13.2013 21,2521,1622 FITJAR,12.13.2013 10,234,167

KVALSUND,12.13.2013 11,214,128

LOPPA,12.13.2013 18,91,66

MARNARDAL,12.13.2013 01,2,2

AGDENES,12.13.2013 22,48,41 EIDSVOLL,12.13.2013 20,775,534 JONDAL,12.13.2013 21,44,37

LEIRFJORD,12.13.2013 01,1,1

MOSS,12.13.2013 19,1411,953

BERGEN,12.13.2013 22,2070,1307 FITJAR,12.13.2013 11,242,176

KVALSUND,12.13.2013 12,136,95

LOPPA,12.13.2013 19,127,85

MARNARDAL,12.13.2013 02,1,1

AGDENES,12.13.2013 23,26,20 EIDSVOLL,12.13.2013 21,523,389 JONDAL,12.13.2013 22,46,35

LEIRFJORD,12.13.2013 03,1,1

MOSS,12.13.2013 20,987,650

BERGEN,12.13.2013 23,1537,968 FITJAR,12.13.2013 12,264,180

KVALSUND,12.13.2013 13,148,95

LOPPA,12.13.2013 20,99,71

MARNARDAL,12.13.2013 05,5,4

ALSTAHAUG,12.13.2013 00,43,36 EIDSVOLL,12.13.2013 22,457,320 JONDAL,12.13.2013 23,11,9

LEIRFJORD,12.13.2013 05,4,4

MOSS,12.13.2013 21,734,505

BERLEV?G,12.13.2013 00,17,14 FITJAR,12.13.2013 13,312,195

KVALSUND,12.13.2013 14,176,118

LOPPA,12.13.2013 21,92,64

MARNARDAL,12.13.2013 06,27,22

ALSTAHAUG,12.13.2013 01,9,8 EIDSVOLL,12.13.2013 23,278,199

J?LSTER,12.13.2013 00,14,12

LEIRFJORD,12.13.2013 06,13,12

MOSS,12.13.2013 22,590,405

BERLEV?G,12.13.2013 01,12,9 FITJAR,12.13.2013 14,378,242

KVALSUND,12.13.2013 15,195,129

LOPPA,12.13.2013 22,53,39

MARNARDAL,12.13.2013 07,46,37

ALSTAHAUG,12.13.2013 02,7,7 EIGERSUND,12.13.2013 00,43,36

J?LSTER,12.13.2013 01,9,3

LEIRFJORD,12.13.2013 07,46,34

MOSS,12.13.2013 23,481,317

BERLEV?G,12.13.2013 02,2,1 FITJAR,12.13.2013 15,353,240

KVALSUND,12.13.2013 16,181,124

LOPPA,12.13.2013 23,40,35

MARNARDAL,12.13.2013 08,120,90

ALSTAHAUG,12.13.2013 03,5,5 EIGERSUND,12.13.2013 01,91,15

J?LSTER,12.13.2013 02,4,4

LEIRFJORD,12.13.2013 08,97,51

M?LSELV,12.13.2013 00,110,74

BERLEV?G,12.13.2013 03,1,1 FITJAR,12.13.2013 16,232,173

KVALSUND,12.13.2013 17,163,117

LUND,12.13.2013 00,16,11

MARNARDAL,12.13.2013 09,133,91

ALSTAHAUG,12.13.2013 04,10,7 EIGERSUND,12.13.2013 02,59,7

J?LSTER,12.13.2013 03,1,1

LEIRFJORD,12.13.2013 09,175,100

M?LSELV,12.13.2013 01,53,32

BERLEV?G,12.13.2013 05,10,6 FITJAR,12.13.2013 17,219,172

KVALSUND,12.13.2013 18,150,114

LUND,12.13.2013 01,6,4

MARNARDAL,12.13.2013 10,140,95

ALSTAHAUG,12.13.2013 05,18,14 EIGERSUND,12.13.2013 03,59,8

J?LSTER,12.13.2013 04,3,3

LEIRFJORD,12.13.2013 10,133,89

M?LSELV,12.13.2013 02,40,27

BERLEV?G,12.13.2013 06,31,23 FITJAR,12.13.2013 18,247,160

KVALSUND,12.13.2013 19,155,98

LUND,12.13.2013 02,2,2

MARNARDAL,12.13.2013 11,148,97

ALSTAHAUG,12.13.2013 06,73,50 EIGERSUND,12.13.2013 04,129,15

J?LSTER,12.13.2013 05,15,9

LEIRFJORD,12.13.2013 11,155,101

M?LSELV,12.13.2013 03,15,13

BERLEV?G,12.13.2013 07,63,34 FITJAR,12.13.2013 19,192,136

KVALSUND,12.13.2013 20,100,72

LUND,12.13.2013 03,1,1

MARNARDAL,12.13.2013 12,208,129

ALSTAHAUG,12.13.2013 07,237,175 EIGERSUND,12.13.2013 05,56,20

J?LSTER,12.13.2013 06,26,19

LEIRFJORD,12.13.2013 12,146,102

M?LSELV,12.13.2013 04,29,18

BERLEV?G,12.13.2013 08,119,68 FITJAR,12.13.2013 20,147,113

KVALSUND,12.13.2013 21,91,69

LUND,12.13.2013 05,16,10

MARNARDAL,12.13.2013 13,140,96

ALSTAHAUG,12.13.2013 08,501,338 EIGERSUND,12.13.2013 06,146,116

J?LSTER,12.13.2013 07,118,88

LEIRFJORD,12.13.2013 13,171,116

M?LSELV,12.13.2013 05,64,38

BERLEV?G,12.13.2013 09,146,83 FITJAR,12.13.2013 21,123,98

KVALSUND,12.13.2013 22,108,72

LUND,12.13.2013 06,44,38

MARNARDAL,12.13.2013 14,204,144

ALSTAHAUG,12.13.2013 09,715,485 EIGERSUND,12.13.2013 07,444,317

J?LSTER,12.13.2013 08,244,158

LEIRFJORD,12.13.2013 14,183,123

M?LSELV,12.13.2013 06,137,94

BERLEV?G,12.13.2013 10,144,88 FITJAR,12.13.2013 22,100,83

KVALSUND,12.13.2013 23,58,43

LUND,12.13.2013 07,97,64

MARNARDAL,12.13.2013 15,229,145

ALSTAHAUG,12.13.2013 10,954,613 EIGERSUND,12.13.2013 08,840,513

J?LSTER,12.13.2013 09,302,202

LEIRFJORD,12.13.2013 15,129,97

M?LSELV,12.13.2013 07,342,261

BERLEV?G,12.13.2013 11,138,96 FITJAR,12.13.2013 23,69,53

KVAM,12.13.2013 00,69,48

LUND,12.13.2013 08,195,132

MARNARDAL,12.13.2013 16,240,146

ALSTAHAUG,12.13.2013 11,969,634 EIGERSUND,12.13.2013 09,1091,664

J?LSTER,12.13.2013 10,298,190

LEIRFJORD,12.13.2013 16,133,88

M?LSELV,12.13.2013 08,651,407

BERLEV?G,12.13.2013 12,169,94 FJALER,12.13.2013 00,13,5

KVAM,12.13.2013 01,15,9

LUND,12.13.2013 09,275,177

MARNARDAL,12.13.2013 17,185,130

ALSTAHAUG,12.13.2013 12,1139,720 EIGERSUND,12.13.2013 10,1296,767

J?LSTER,12.13.2013 11,290,199

LEIRFJORD,12.13.2013 17,121,82

M?LSELV,12.13.2013 09,766,489

BERLEV?G,12.13.2013 13,214,116 FJALER,12.13.2013 01,2,2

KVAM,12.13.2013 02,12,6

LUND,12.13.2013 10,324,208

MARNARDAL,12.13.2013 18,146,100

ALSTAHAUG,12.13.2013 13,1270,810 EIGERSUND,12.13.2013 11,1317,840

J?LSTER,12.13.2013 12,306,195

LEIRFJORD,12.13.2013 18,92,68

M?LSELV,12.13.2013 10,931,627

BERLEV?G,12.13.2013 14,187,113 FJALER,12.13.2013 02,1,1

KVAM,12.13.2013 03,6,4

LUND,12.13.2013 11,336,211

MARNARDAL,12.13.2013 19,115,83

ALSTAHAUG,12.13.2013 14,1241,798 EIGERSUND,12.13.2013 12,1265,812

J?LSTER,12.13.2013 13,337,205

LEIRFJORD,12.13.2013 19,86,57

M?LSELV,12.13.2013 11,1123,722

BERLEV?G,12.13.2013 15,148,89 FJALER,12.13.2013 03,1,1

KVAM,12.13.2013 04,7,6

LUND,12.13.2013 12,339,230

MARNARDAL,12.13.2013 20,100,73

ALSTAHAUG,12.13.2013 15,1087,702 EIGERSUND,12.13.2013 13,1480,891

J?LSTER,12.13.2013 14,364,222

LEIRFJORD,12.13.2013 20,83,64

M?LSELV,12.13.2013 12,1131,726

BERLEV?G,12.13.2013 16,115,77 FJALER,12.13.2013 05,2,1

KVAM,12.13.2013 05,16,12

LUND,12.13.2013 13,327,237

MARNARDAL,12.13.2013 21,92,62

ALSTAHAUG,12.13.2013 16,740,515 EIGERSUND,12.13.2013 14,1780,1098

J?LSTER,12.13.2013 15,460,284

LEIRFJORD,12.13.2013 21,86,64

M?LSELV,12.13.2013 13,1112,710

BERLEV?G,12.13.2013 17,102,74 FJALER,12.13.2013 06,9,8

KVAM,12.13.2013 06,72,57

LUND,12.13.2013 14,396,263

MARNARDAL,12.13.2013 22,66,43

ALSTAHAUG,12.13.2013 17,631,455 EIGERSUND,12.13.2013 15,1764,1079

J?LSTER,12.13.2013 16,405,280

LEIRFJORD,12.13.2013 22,61,44

M?LSELV,12.13.2013 14,1205,749

BERLEV?G,12.13.2013 18,110,70 FJALER,12.13.2013 07,27,20

KVAM,12.13.2013 07,323,236

LUND,12.13.2013 15,474,327

MARNARDAL,12.13.2013 23,59,41

ALSTAHAUG,12.13.2013 18,531,381 EIGERSUND,12.13.2013 16,1387,916

J?LSTER,12.13.2013 17,332,237

LEIRFJORD,12.13.2013 23,49,36

M?LSELV,12.13.2013 15,1358,842

BERLEV?G,12.13.2013 19,121,82 FJALER,12.13.2013 08,61,49

KVAM,12.13.2013 08,434,297

MASFJORDEN,12.13.2013 00,12,10

ALSTAHAUG,12.13.2013 19,531,394 EIGERSUND,12.13.2013 17,1297,877

J?LSTER,12.13.2013 18,271,180

LEKA,12.13.2013 00,2,2

M?LSELV,12.13.2013 16,1168,755

BERLEV?G,12.13.2013 20,94,58 FJALER,12.13.2013 09,92,66

KVAM,12.13.2013 09,675,454

MASFJORDEN,12.13.2013 01,16,4

ALSTAHAUG,12.13.2013 20,406,314 EIGERSUND,12.13.2013 18,1126,765

J?LSTER,12.13.2013 19,258,174

LEKA,12.13.2013 02,2,1

M?LSELV,12.13.2013 17,977,649

BERLEV?G,12.13.2013 21,84,57 FJALER,12.13.2013 10,99,75

KVAM,12.13.2013 10,784,521

MASFJORDEN,12.13.2013 02,4,4

ALSTAHAUG,12.13.2013 21,395,300 EIGERSUND,12.13.2013 19,872,619

J?LSTER,12.13.2013 20,199,138

LEKA,12.13.2013 03,11,2

M?LSELV,12.13.2013 18,802,542

BERLEV?G,12.13.2013 22,125,70 FJALER,12.13.2013 11,133,87

KVAM,12.13.2013 11,861,589

MASFJORDEN,12.13.2013 03,2,2

ALSTAHAUG,12.13.2013 22,296,221 EIGERSUND,12.13.2013 20,639,455

J?LSTER,12.13.2013 21,182,133

LEKA,12.13.2013 05,6,3

M?LSELV,12.13.2013 19,602,429

BERLEV?G,12.13.2013 23,51,45 FJALER,12.13.2013 12,132,104

KVAM,12.13.2013 12,919,598

MASFJORDEN,12.13.2013 04,5,3

ALSTAHAUG,12.13.2013 23,244,148 EIGERSUND,12.13.2013 21,425,322

J?LSTER,12.13.2013 22,145,111

LEKA,12.13.2013 06,10,6

M?LSELV,12.13.2013 20,738,490

BINDAL,12.13.2013 00,8,7 FJALER,12.13.2013 13,125,87

KVAM,12.13.2013 13,1041,681

MASFJORDEN,12.13.2013 05,9,6

ALTA,12.13.2013 00,200,139 EIGERSUND,12.13.2013 22,789,328

J?LSTER,12.13.2013 23,81,57

LEKA,12.13.2013 07,22,14

M?LSELV,12.13.2013 21,551,372

BINDAL,12.13.2013 01,2,2 FJALER,12.13.2013 14,133,97

KVAM,12.13.2013 14,1125,763

MASFJORDEN,12.13.2013 06,18,14

ALTA,12.13.2013 01,90,59 EIGERSUND,12.13.2013 23,453,269

KARASJOK,12.13.2013 00,34,23

LEKA,12.13.2013 08,14,13

M?LSELV,12.13.2013 22,470,298

BINDAL,12.13.2013 02,3,1 FJALER,12.13.2013 15,115,80

KVAM,12.13.2013 15,1176,757

MASFJORDEN,12.13.2013 07,53,41

ALTA,12.13.2013 02,43,29 ELVERUM,12.13.2013 00,162,104

KARASJOK,12.13.2013 01,20,17

LEKA,12.13.2013 09,41,29

M?LSELV,12.13.2013 23,289,211

BINDAL,12.13.2013 04,2,1 FJALER,12.13.2013 16,123,92

KVAM,12.13.2013 16,902,616

MASFJORDEN,12.13.2013 08,63,49

ALTA,12.13.2013 03,63,32 ELVERUM,12.13.2013 01,264,84

KARASJOK,12.13.2013 02,4,2

LEKA,12.13.2013 10,34,21

M?S?Y,12.13.2013 00,8,8

BINDAL,12.13.2013 05,3,3 FJALER,12.13.2013 17,93,74

KVAM,12.13.2013 17,721,486

MASFJORDEN,12.13.2013 09,109,78

ALTA,12.13.2013 04,32,22 ELVERUM,12.13.2013 02,312,71

KARASJOK,12.13.2013 03,3,3

LEKA,12.13.2013 11,50,33

M?S?Y,12.13.2013 01,5,5

BINDAL,12.13.2013 06,12,8 FJALER,12.13.2013 18,86,67

KVAM,12.13.2013 18,645,456

MASFJORDEN,12.13.2013 10,177,133

ALTA,12.13.2013 05,45,30 ELVERUM,12.13.2013 03,178,38

KARASJOK,12.13.2013 04,6,6

LEKA,12.13.2013 12,52,34

M?S?Y,12.13.2013 02,6,3

BINDAL,12.13.2013 07,48,39 FJALER,12.13.2013 19,93,64

KVAM,12.13.2013 19,618,444

MASFJORDEN,12.13.2013 11,167,120

ALTA,12.13.2013 06,162,95 ELVERUM,12.13.2013 04,189,23

KARASJOK,12.13.2013 05,15,13

LEKA,12.13.2013 13,36,25

M?S?Y,12.13.2013 03,1,1

BINDAL,12.13.2013 08,63,49 FJALER,12.13.2013 20,73,55

KVAM,12.13.2013 20,456,331

MASFJORDEN,12.13.2013 12,164,113

ALTA,12.13.2013 07,494,329 ELVERUM,12.13.2013 05,123,23

KARASJOK,12.13.2013 06,43,24

LEKA,12.13.2013 14,42,32

M?S?Y,12.13.2013 04,3,3

BINDAL,12.13.2013 09,115,75 FJALER,12.13.2013 21,79,61

KVAM,12.13.2013 21,366,267

MASFJORDEN,12.13.2013 13,180,121

ALTA,12.13.2013 08,1032,649 ELVERUM,12.13.2013 06,301,118

KARASJOK,12.13.2013 07,67,48

LEKA,12.13.2013 15,54,38

M?S?Y,12.13.2013 05,7,7

BINDAL,12.13.2013 10,128,91 FJALER,12.13.2013 22,51,38

KVAM,12.13.2013 22,269,205

MASFJORDEN,12.13.2013 14,217,155

ALTA,12.13.2013 09,1408,813 ELVERUM,12.13.2013 07,640,398

KARASJOK,12.13.2013 08,219,141

LEKA,12.13.2013 16,34,22

M?S?Y,12.13.2013 06,19,14

BINDAL,12.13.2013 11,141,95 FJALER,12.13.2013 23,36,21

KVAM,12.13.2013 23,193,148

MASFJORDEN,12.13.2013 15,237,153

ALTA,12.13.2013 10,1771,1027 ELVERUM,12.13.2013 08,1091,703

KARASJOK,12.13.2013 09,275,172

LEKA,12.13.2013 17,30,25

M?S?Y,12.13.2013 07,59,38

BINDAL,12.13.2013 12,166,119 FJELL,12.13.2013 00,52,35

KVINESDAL,12.13.2013 00,53,33

MASFJORDEN,12.13.2013 16,215,146

ALTA,12.13.2013 11,1954,1116 ELVERUM,12.13.2013 09,1511,918

KARASJOK,12.13.2013 10,283,171

LEKA,12.13.2013 18,83,51

M?S?Y,12.13.2013 08,77,61

BINDAL,12.13.2013 13,168,100 FJELL,12.13.2013 01,23,18

KVINESDAL,12.13.2013 01,18,12

MASFJORDEN,12.13.2013 17,164,115

ALTA,12.13.2013 12,2063,1190 ELVERUM,12.13.2013 10,1636,973

KARASJOK,12.13.2013 11,323,192

LEKA,12.13.2013 19,29,22

M?S?Y,12.13.2013 09,143,101

BINDAL,12.13.2013 14,199,124 FJELL,12.13.2013 02,15,12

KVINESDAL,12.13.2013 02,7,5

MASFJORDEN,12.13.2013 18,162,98

ALTA,12.13.2013 13,2505,1481 ELVERUM,12.13.2013 11,1687,1074

KARASJOK,12.13.2013 12,395,248

LEKA,12.13.2013 20,35,22

M?S?Y,12.13.2013 10,171,107

BINDAL,12.13.2013 15,171,113 FJELL,12.13.2013 03,8,7

KVINESDAL,12.13.2013 03,5,4

MASFJORDEN,12.13.2013 19,153,103

ALTA,12.13.2013 14,2700,1572 ELVERUM,12.13.2013 12,1816,1116

KARASJOK,12.13.2013 13,464,291

LEKA,12.13.2013 21,43,34

M?S?Y,12.13.2013 11,149,106

BINDAL,12.13.2013 16,115,84 FJELL,12.13.2013 04,21,18

KVINESDAL,12.13.2013 04,3,3

MASFJORDEN,12.13.2013 20,106,81

ALTA,12.13.2013 15,2470,1498 ELVERUM,12.13.2013 13,2069,1242

KARASJOK,12.13.2013 14,409,261

LEKA,12.13.2013 22,55,24

M?S?Y,12.13.2013 12,161,113

BINDAL,12.13.2013 17,91,74 FJELL,12.13.2013 05,38,28

KVINESDAL,12.13.2013 05,13,12

LUNNER,12.13.2013 13,1039,660

MASFJORDEN,12.13.2013 21,115,83

ALTA,12.13.2013 16,2100,1286 ELVERUM,12.13.2013 14,2191,1367

KARASJOK,12.13.2013 15,429,277

LEKA,12.13.2013 23,24,16

M?S?Y,12.13.2013 13,133,100

BINDAL,12.13.2013 18,82,58 FJELL,12.13.2013 06,156,109

KVINESDAL,12.13.2013 06,51,42

LUNNER,12.13.2013 14,1256,811

MASFJORDEN,12.13.2013 22,82,62

ALTA,12.13.2013 17,1796,1115 ELVERUM,12.13.2013 15,2093,1316

KARASJOK,12.13.2013 16,361,233

LEKSVIK,12.13.2013 00,16,14

M?S?Y,12.13.2013 14,167,115

BINDAL,12.13.2013 19,113,69 FJELL,12.13.2013 07,526,381

KVINESDAL,12.13.2013 07,206,143

MASFJORDEN,12.13.2013 23,45,35

ALTA,12.13.2013 18,1712,1052 ELVERUM,12.13.2013 16,1827,1204

KARASJOK,12.13.2013 17,397,251

LEKSVIK,12.13.2013 01,16,6

M?S?Y,12.13.2013 15,157,101

BINDAL,12.13.2013 20,109,76 FJELL,12.13.2013 08,920,570

KVINESDAL,12.13.2013 08,377,252

MELAND,12.13.2013 00,33,29

ALTA,12.13.2013 19,1709,1083 ELVERUM,12.13.2013 17,1338,896

KARASJOK,12.13.2013 18,411,241

LEKSVIK,12.13.2013 02,6,3

M?S?Y,12.13.2013 16,108,78

BINDAL,12.13.2013 21,75,60 FJELL,12.13.2013 09,1185,746

KVINESDAL,12.13.2013 09,549,337

LUNNER,12.13.2013 17,937,633

MELAND,12.13.2013 01,15,14

ALTA,12.13.2013 20,1565,997 ELVERUM,12.13.2013 18,1109,772

KARASJOK,12.13.2013 19,356,221

LEKSVIK,12.13.2013 03,8,6

M?S?Y,12.13.2013 17,127,80

BINDAL,12.13.2013 22,564,75 FJELL,12.13.2013 10,1462,884

KVINESDAL,12.13.2013 10,557,374

LUNNER,12.13.2013 18,715,508

MELAND,12.13.2013 02,16,8

ALTA,12.13.2013 21,1256,788 ELVERUM,12.13.2013 19,964,650

KARASJOK,12.13.2013 20,313,199

LEKSVIK,12.13.2013 04,17,12

M?S?Y,12.13.2013 18,95,71

BINDAL,12.13.2013 23,171,56 FJELL,12.13.2013 11,1496,947

KVINESDAL,12.13.2013 11,595,374

LUNNER,12.13.2013 19,634,449

MELAND,12.13.2013 03,7,7

ALTA,12.13.2013 22,1143,745 ELVERUM,12.13.2013 20,799,532

KARASJOK,12.13.2013 21,325,188

LEKSVIK,12.13.2013 05,16,11

M?S?Y,12.13.2013 19,93,72

BIRKENES,12.13.2013 00,12,10 FJELL,12.13.2013 12,1455,905

KVINESDAL,12.13.2013 12,556,370

LUNNER,12.13.2013 20,519,377

MELAND,12.13.2013 04,12,11

ALTA,12.13.2013 23,807,553 ELVERUM,12.13.2013 21,585,410

KARASJOK,12.13.2013 22,240,148

LEKSVIK,12.13.2013 06,65,23

M?S?Y,12.13.2013 20,99,73

BIRKENES,12.13.2013 01,5,5 FJELL,12.13.2013 13,1733,1070

KVINESDAL,12.13.2013 13,700,447

LUNNER,12.13.2013 21,413,307

MELAND,12.13.2013 05,20,18

ALVDAL,12.13.2013 00,17,11 ELVERUM,12.13.2013 22,467,297

KARASJOK,12.13.2013 23,210,132

LEKSVIK,12.13.2013 07,116,84

M?S?Y,12.13.2013 21,99,76

BIRKENES,12.13.2013 02,6,5 FJELL,12.13.2013 14,2033,1230

KVINESDAL,12.13.2013 14,881,535

LUNNER,12.13.2013 22,313,226

MELAND,12.13.2013 06,59,53

ALVDAL,12.13.2013 01,6,6 ELVERUM,12.13.2013 23,325,225

KARLS?Y,12.13.2013 00,19,15

LEKSVIK,12.13.2013 08,145,104

M?S?Y,12.13.2013 22,77,56

BIRKENES,12.13.2013 03,2,2 FJELL,12.13.2013 15,1989,1204

KVINESDAL,12.13.2013 15,794,514

LUNNER,12.13.2013 23,169,117

MELAND,12.13.2013 07,275,215

ALVDAL,12.13.2013 02,9,5 ENEBAKK,12.13.2013 00,45,32

KARLS?Y,12.13.2013 01,4,4

LEKSVIK,12.13.2013 09,203,133

M?S?Y,12.13.2013 23,49,36

BIRKENES,12.13.2013 04,7,5 FJELL,12.13.2013 16,1590,991

KVINESDAL,12.13.2013 16,627,417

LUR?Y,12.13.2013 00,14,8

MELAND,12.13.2013 08,453,346

ALVDAL,12.13.2013 03,16,6 ENEBAKK,12.13.2013 01,12,10

KARLS?Y,12.13.2013 02,5,4

LEKSVIK,12.13.2013 10,197,143

NAMDALSEID,12.13.2013 00,11,9

BIRKENES,12.13.2013 05,5,4 FJELL,12.13.2013 17,1058,733

KVINESDAL,12.13.2013 17,615,403

LUR?Y,12.13.2013 01,8,5

MELAND,12.13.2013 09,694,476

ALVDAL,12.13.2013 04,15,8 ENEBAKK,12.13.2013 02,5,5

KARLS?Y,12.13.2013 03,3,2

LEKSVIK,12.13.2013 11,201,145

NAMDALSEID,12.13.2013 01,1,1

BIRKENES,12.13.2013 06,34,31 FJELL,12.13.2013 18,984,654

KVINESDAL,12.13.2013 18,476,334

LUR?Y,12.13.2013 02,3,2

MELAND,12.13.2013 10,754,527

ALVDAL,12.13.2013 05,9,8 ENEBAKK,12.13.2013 03,3,3

KARLS?Y,12.13.2013 04,4,4

LEKSVIK,12.13.2013 12,198,144

NAMDALSEID,12.13.2013 02,2,1

BIRKENES,12.13.2013 07,156,108 FJELL,12.13.2013 19,766,532

KVINESDAL,12.13.2013 19,391,281

LUR?Y,12.13.2013 03,2,2

MELAND,12.13.2013 11,782,546

ALVDAL,12.13.2013 06,45,32 ENEBAKK,12.13.2013 04,9,7

KARLS?Y,12.13.2013 05,3,3

LEKSVIK,12.13.2013 13,299,181

NAMDALSEID,12.13.2013 04,7,4

BIRKENES,12.13.2013 08,292,202 FJELL,12.13.2013 20,648,429

KVINESDAL,12.13.2013 20,383,257

LUR?Y,12.13.2013 04,2,2

MELAND,12.13.2013 12,722,517

ALVDAL,12.13.2013 07,153,99 ENEBAKK,12.13.2013 05,31,26

KARLS?Y,12.13.2013 06,16,9

LEKSVIK,12.13.2013 14,314,210

NAMDALSEID,12.13.2013 05,13,8

BIRKENES,12.13.2013 09,345,231 FJELL,12.13.2013 21,521,392

KVINESDAL,12.13.2013 21,372,245

LUR?Y,12.13.2013 05,11,8

MELAND,12.13.2013 13,918,634

ALVDAL,12.13.2013 08,226,146 ENEBAKK,12.13.2013 06,117,94

KARLS?Y,12.13.2013 07,55,38

LEKSVIK,12.13.2013 15,252,172

NAMDALSEID,12.13.2013 06,36,19

BIRKENES,12.13.2013 10,406,260 FJELL,12.13.2013 22,441,297

KVINESDAL,12.13.2013 22,224,164

LUR?Y,12.13.2013 06,59,29

MELAND,12.13.2013 14,997,741

ALVDAL,12.13.2013 09,272,183 ENEBAKK,12.13.2013 07,389,266

KARLS?Y,12.13.2013 08,127,94

LEKSVIK,12.13.2013 16,184,125

NAMDALSEID,12.13.2013 07,65,49

BIRKENES,12.13.2013 11,410,270 FJELL,12.13.2013 23,314,194

KVINESDAL,12.13.2013 23,178,130

LUR?Y,12.13.2013 07,85,62

MELAND,12.13.2013 15,986,737

ALVDAL,12.13.2013 10,296,213 ENEBAKK,12.13.2013 08,476,331

KARLS?Y,12.13.2013 09,191,120

LEKSVIK,12.13.2013 17,167,118

NAMDALSEID,12.13.2013 08,131,79

BIRKENES,12.13.2013 12,373,268 FLAKSTAD,12.13.2013 00,14,13

KVINNHERAD,12.13.2013 00,92,48

LUR?Y,12.13.2013 08,174,111

MELAND,12.13.2013 16,904,652

ALVDAL,12.13.2013 11,315,225 ENEBAKK,12.13.2013 09,654,428

KARLS?Y,12.13.2013 10,200,145

LEKSVIK,12.13.2013 18,157,114

NAMDALSEID,12.13.2013 09,157,101

BIRKENES,12.13.2013 13,513,352 FLAKSTAD,12.13.2013 01,5,3

KVINNHERAD,12.13.2013 01,65,21

LUR?Y,12.13.2013 09,271,168

MELAND,12.13.2013 17,677,502

ALVDAL,12.13.2013 12,342,207 ENEBAKK,12.13.2013 10,718,462

KARLS?Y,12.13.2013 11,222,145

LEKSVIK,12.13.2013 19,133,95

NAMDALSEID,12.13.2013 10,167,107

BIRKENES,12.13.2013 14,674,416 FLAKSTAD,12.13.2013 03,1,1

KVINNHERAD,12.13.2013 02,69,10

LUR?Y,12.13.2013 10,286,190

MELAND,12.13.2013 18,618,475

ALVDAL,12.13.2013 13,376,241 ENEBAKK,12.13.2013 11,618,406

KARLS?Y,12.13.2013 12,206,140

LEKSVIK,12.13.2013 20,112,82

NAMDALSEID,12.13.2013 11,121,85

BIRKENES,12.13.2013 15,672,426 FLAKSTAD,12.13.2013 04,1,1

KVINNHERAD,12.13.2013 03,65,7

LUR?Y,12.13.2013 11,339,212

MELAND,12.13.2013 19,505,374

ALVDAL,12.13.2013 14,425,284 ENEBAKK,12.13.2013 12,683,430

KARLS?Y,12.13.2013 13,214,123

LEKSVIK,12.13.2013 21,87,59

NAMDALSEID,12.13.2013 12,157,95

BIRKENES,12.13.2013 16,564,374 FLAKSTAD,12.13.2013 05,7,7

KVINNHERAD,12.13.2013 04,78,11

LUR?Y,12.13.2013 12,353,224

MELAND,12.13.2013 20,477,367

ALVDAL,12.13.2013 15,423,273 ENEBAKK,12.13.2013 13,841,531

KARLS?Y,12.13.2013 14,263,158

LEKSVIK,12.13.2013 22,57,46

NAMDALSEID,12.13.2013 13,171,118

BIRKENES,12.13.2013 17,423,276 FLAKSTAD,12.13.2013 06,17,14

KVINNHERAD,12.13.2013 05,54,16

LUR?Y,12.13.2013 13,386,218

MELAND,12.13.2013 21,413,298

ALVDAL,12.13.2013 16,333,238 ENEBAKK,12.13.2013 14,954,622

KARLS?Y,12.13.2013 15,184,126

LEKSVIK,12.13.2013 23,29,22

NAMDALSEID,12.13.2013 14,170,119

BIRKENES,12.13.2013 18,349,232 FLAKSTAD,12.13.2013 07,56,38

KVINNHERAD,12.13.2013 06,129,95

MELAND,12.13.2013 22,346,272

ALVDAL,12.13.2013 17,255,178 ENEBAKK,12.13.2013 15,958,640

KARLS?Y,12.13.2013 16,160,121

LENVIK,12.13.2013 00,89,73

NAMDALSEID,12.13.2013 15,165,117

BIRKENES,12.13.2013 19,302,216 FLAKSTAD,12.13.2013 08,108,71

KVINNHERAD,12.13.2013 07,497,333

MELAND,12.13.2013 23,247,167

ALVDAL,12.13.2013 18,255,172 ENEBAKK,12.13.2013 16,930,579

KARLS?Y,12.13.2013 17,131,95

LENVIK,12.13.2013 01,39,33

NAMDALSEID,12.13.2013 16,219,138

BIRKENES,12.13.2013 20,236,170 FLAKSTAD,12.13.2013 09,146,102

KVINNHERAD,12.13.2013 08,764,502

MELDAL,12.13.2013 00,4,4

ALVDAL,12.13.2013 19,211,147 ENEBAKK,12.13.2013 17,747,536

KARLS?Y,12.13.2013 18,138,99

LENVIK,12.13.2013 02,19,16

NAMDALSEID,12.13.2013 17,138,103

BIRKENES,12.13.2013 21,215,148 FLAKSTAD,12.13.2013 10,191,125

KVINNHERAD,12.13.2013 09,1040,684

MELDAL,12.13.2013 01,1,1

ALVDAL,12.13.2013 20,168,119 ENEBAKK,12.13.2013 18,642,438

KARLS?Y,12.13.2013 19,118,96

LENVIK,12.13.2013 03,27,18

NAMDALSEID,12.13.2013 18,104,82

BIRKENES,12.13.2013 22,203,127 FLAKSTAD,12.13.2013 11,211,128

KVINNHERAD,12.13.2013 10,1197,795

MELDAL,12.13.2013 02,2,1

ALVDAL,12.13.2013 21,158,109 ENEBAKK,12.13.2013 19,504,360

KARLS?Y,12.13.2013 20,143,102

LENVIK,12.13.2013 04,21,13

NAMDALSEID,12.13.2013 19,101,77

BIRKENES,12.13.2013 23,137,88

FLAKSTAD,12.13.2013 12,204,136

KVINNHERAD,12.13.2013 11,1286,842

LUR?Y,12.13.2013 19,189,143

MELDAL,12.13.2013 03,3,1

ALVDAL,12.13.2013 22,85,61 ENEBAKK,12.13.2013 20,395,289

KARLS?Y,12.13.2013 21,108,82

LENVIK,12.13.2013 05,29,24

NAMDALSEID,12.13.2013 20,105,80

BJERKREIM,12.13.2013 00,3,3

FLAKSTAD,12.13.2013 13,205,146

KVINNHERAD,12.13.2013 12,1357,882

LUR?Y,12.13.2013 20,181,135

MELDAL,12.13.2013 07,2,1

ALVDAL,12.13.2013 23,48,33 ENEBAKK,12.13.2013 21,360,251

KARLS?Y,12.13.2013 22,71,59

LENVIK,12.13.2013 06,101,67

NAMDALSEID,12.13.2013 21,72,59

BJERKREIM,12.13.2013 01,1,1

FLAKSTAD,12.13.2013 14,241,148

KVINNHERAD,12.13.2013 13,1549,981

LUR?Y,12.13.2013 21,135,96

MELDAL,12.13.2013 08,18,6

ANDEBU,12.13.2013 00,22,11 ENEBAKK,12.13.2013 22,296,207

KARLS?Y,12.13.2013 23,41,32

LENVIK,12.13.2013 07,352,244

NAMDALSEID,12.13.2013 22,70,49

BJERKREIM,12.13.2013 02,7,2

FLAKSTAD,12.13.2013 15,193,134

KVINNHERAD,12.13.2013 14,1832,1161

LUR?Y,12.13.2013 22,112,77

MELDAL,12.13.2013 09,4,4

ANDEBU,12.13.2013 01,16,6 ENEBAKK,12.13.2013 23,209,146

KARM?Y,12.13.2013 00,79,56

LENVIK,12.13.2013 08,746,508

NAMDALSEID,12.13.2013 23,57,45

BJERKREIM,12.13.2013 03,1,1

FLAKSTAD,12.13.2013 16,187,113

KVINNHERAD,12.13.2013 15,1611,1083

LUR?Y,12.13.2013 23,46,40

MELDAL,12.13.2013 10,4,2

ANDEBU,12.13.2013 02,13,7 ENGERDAL,12.13.2013 00,5,5

KARM?Y,12.13.2013 01,46,30

LENVIK,12.13.2013 09,1028,651

NAMSOS,12.13.2013 00,61,50

BJERKREIM,12.13.2013 04,7,6

FLAKSTAD,12.13.2013 17,147,105

KVINNHERAD,12.13.2013 16,1324,890

LUSTER,12.13.2013 00,16,13

MELDAL,12.13.2013 11,4,3

ANDEBU,12.13.2013 03,9,8 ENGERDAL,12.13.2013 04,1,1

KARM?Y,12.13.2013 02,26,19

LENVIK,12.13.2013 10,1318,815

NAMSOS,12.13.2013 01,24,16

BJERKREIM,12.13.2013 05,8,7

FLAKSTAD,12.13.2013 18,153,102

KVINNHERAD,12.13.2013 17,1113,792

LUSTER,12.13.2013 01,14,7

MELDAL,12.13.2013 12,362,226

ANDEBU,12.13.2013 04,6,5 ENGERDAL,12.13.2013 05,9,4

KARM?Y,12.13.2013 03,16,16

LENVIK,12.13.2013 11,1558,992

NAMSOS,12.13.2013 02,20,12

BJERKREIM,12.13.2013 06,54,42

FLAKSTAD,12.13.2013 19,124,84

KVINNHERAD,12.13.2013 18,1105,746

LUSTER,12.13.2013 02,1,1

MELDAL,12.13.2013 13,473,278

ANDEBU,12.13.2013 05,12,11 ENGERDAL,12.13.2013 06,15,14

KARM?Y,12.13.2013 04,14,10

LENVIK,12.13.2013 12,1743,1079

NAMSOS,12.13.2013 03,5,4

BJERKREIM,12.13.2013 07,137,96

FLAKSTAD,12.13.2013 20,163,99

KVINNHERAD,12.13.2013 19,980,657

LUSTER,12.13.2013 03,3,2

MELDAL,12.13.2013 14,459,275

ANDEBU,12.13.2013 06,67,45 ENGERDAL,12.13.2013 07,31,25

KARM?Y,12.13.2013 05,41,28

LENVIK,12.13.2013 13,2126,1281

NAMSOS,12.13.2013 04,8,6

BJERKREIM,12.13.2013 08,198,136

FLAKSTAD,12.13.2013 21,95,79

KVINNHERAD,12.13.2013 20,766,538

LUSTER,12.13.2013 04,3,2

MELDAL,12.13.2013 15,452,301

ANDEBU,12.13.2013 07,211,136 ENGERDAL,12.13.2013 08,91,62

KARM?Y,12.13.2013 06,172,129

LENVIK,12.13.2013 14,2107,1308

NAMSOS,12.13.2013 05,24,19

BJERKREIM,12.13.2013 09,249,165

FLAKSTAD,12.13.2013 22,85,67

KVINNHERAD,12.13.2013 21,695,504

LUSTER,12.13.2013 05,43,2

MELDAL,12.13.2013 16,351,245

ANDEBU,12.13.2013 08,368,245 ENGERDAL,12.13.2013 09,128,88

KARM?Y,12.13.2013 07,659,472

LENVIK,12.13.2013 15,1979,1205

NAMSOS,12.13.2013 06,124,83

BJERKREIM,12.13.2013 10,282,193

FLAKSTAD,12.13.2013 23,51,39

KVINNHERAD,12.13.2013 22,459,344

LUSTER,12.13.2013 06,83,43

MELDAL,12.13.2013 17,319,227

ANDEBU,12.13.2013 09,457,288 ENGERDAL,12.13.2013 10,119,85

KARM?Y,12.13.2013 08,1125,745

LENVIK,12.13.2013 16,1576,1029

NAMSOS,12.13.2013 07,412,298

BJERKREIM,12.13.2013 11,267,176

FLATANGER,12.13.2013 00,8,7

KVINNHERAD,12.13.2013 23,317,220

LUSTER,12.13.2013 07,151,119

MELDAL,12.13.2013 18,208,167

ANDEBU,12.13.2013 10,442,305

ENGERDAL,12.13.2013 11,92,62

KARM?Y,12.13.2013 09,1591,974

LENVIK,12.13.2013 17,1259,856

NAMSOS,12.13.2013 08,846,567

BJERKREIM,12.13.2013 12,269,191

FLATANGER,12.13.2013 02,1,1

KVITESEID,12.13.2013 00,22,21

LUSTER,12.13.2013 08,353,259

MELDAL,12.13.2013 19,239,172

ANDEBU,12.13.2013 11,443,287

ENGERDAL,12.13.2013 12,95,66

KARM?Y,12.13.2013 10,1832,1087

LENVIK,12.13.2013 18,1142,751

NAMSOS,12.13.2013 09,1249,746

BJERKREIM,12.13.2013 13,332,215

FLATANGER,12.13.2013 03,4,2

KVITESEID,12.13.2013 01,9,7

LUSTER,12.13.2013 09,432,292

MELDAL,12.13.2013 20,170,112

ANDEBU,12.13.2013 12,464,281

ENGERDAL,12.13.2013 13,134,76

KARM?Y,12.13.2013 11,1746,1095

LENVIK,12.13.2013 19,1003,668

NAMSOS,12.13.2013 10,1521,963

BJERKREIM,12.13.2013 14,361,248

FLATANGER,12.13.2013 04,1,1

KVITESEID,12.13.2013 02,1,1

LUSTER,12.13.2013 10,528,345

MELDAL,12.13.2013 21,148,110

ANDEBU,12.13.2013 13,522,365

ENGERDAL,12.13.2013 14,115,85

KARM?Y,12.13.2013 12,1895,1162

LENVIK,12.13.2013 20,780,549

NAMSOS,12.13.2013 11,1600,999

BJERKREIM,12.13.2013 15,400,278

FLATANGER,12.13.2013 05,4,2

KVITESEID,12.13.2013 03,2,2

LUSTER,12.13.2013 11,489,330

MELDAL,12.13.2013 22,111,83

ANDEBU,12.13.2013 14,560,390

ENGERDAL,12.13.2013 15,131,83

KARM?Y,12.13.2013 13,2021,1270

LENVIK,12.13.2013 21,786,559

NAMSOS,12.13.2013 12,1773,1107

BJERKREIM,12.13.2013 16,342,241

FLATANGER,12.13.2013 06,15,8

KVITESEID,12.13.2013 04,6,4

LUSTER,12.13.2013 12,551,348

MELDAL,12.13.2013 23,57,47

ANDEBU,12.13.2013 15,597,411

ENGERDAL,12.13.2013 16,144,93

KARM?Y,12.13.2013 14,2550,1516

LENVIK,12.13.2013 22,636,446

NAMSOS,12.13.2013 13,1984,1233

BJERKREIM,12.13.2013 17,288,207

FLATANGER,12.13.2013 07,39,30

KVITESEID,12.13.2013 05,12,7

LUSTER,12.13.2013 13,623,409

MELHUS,12.13.2013 00,86,49

ANDEBU,12.13.2013 16,533,381

ENGERDAL,12.13.2013 17,126,82

KARM?Y,12.13.2013 15,2544,1544

LENVIK,12.13.2013 23,395,279

NAMSOS,12.13.2013 14,2238,1364

BJERKREIM,12.13.2013 18,218,153

FLATANGER,12.13.2013 08,65,48

KVITESEID,12.13.2013 06,39,26

MELHUS,12.13.2013 01,36,20

ANDEBU,12.13.2013 17,500,329

ENGERDAL,12.13.2013 18,64,53

KARM?Y,12.13.2013 16,2048,1316

LESJA,12.13.2013 00,22,15

NAMSOS,12.13.2013 15,2268,1387

BJERKREIM,12.13.2013 19,202,135

FLATANGER,12.13.2013 09,101,66

KVITESEID,12.13.2013 07,102,76

MELHUS,12.13.2013 02,19,14

ANDEBU,12.13.2013 18,342,255

ENGERDAL,12.13.2013 19,71,58

KARM?Y,12.13.2013 17,1524,1037

LESJA,12.13.2013 01,5,3

NAMSOS,12.13.2013 16,1698,1070

BJERKREIM,12.13.2013 20,129,95

FLATANGER,12.13.2013 10,144,97

KVITESEID,12.13.2013 08,190,125

MELHUS,12.13.2013 03,21,16

ANDEBU,12.13.2013 19,269,217

ENGERDAL,12.13.2013 20,75,60

KARM?Y,12.13.2013 18,1407,953

LESJA,12.13.2013 02,11,9

NAMSOS,12.13.2013 17,1304,832

BJERKREIM,12.13.2013 21,122,90

FLATANGER,12.13.2013 11,118,90

KVITESEID,12.13.2013 09,257,167

MELHUS,12.13.2013 04,20,14

ANDEBU,12.13.2013 20,244,183

ENGERDAL,12.13.2013 21,66,53

KARM?Y,12.13.2013 19,1120,805

LESJA,12.13.2013 04,1,1

NAMSOS,12.13.2013 18,1111,723

BJERKREIM,12.13.2013 22,129,67

FLATANGER,12.13.2013 12,101,69

KVITESEID,12.13.2013 10,284,166

MELHUS,12.13.2013 05,35,19

ANDEBU,12.13.2013 21,224,163

ENGERDAL,12.13.2013 22,45,30

KARM?Y,12.13.2013 20,916,643

LESJA,12.13.2013 05,13,4

NAMSOS,12.13.2013 19,892,608

BJERKREIM,12.13.2013 23,63,43

FLATANGER,12.13.2013 13,138,89

KVITESEID,12.13.2013 11,282,168

MELHUS,12.13.2013 06,191,142

ANDEBU,12.13.2013 22,165,120

ENGERDAL,12.13.2013 23,24,17

KARM?Y,12.13.2013 21,667,489

LESJA,12.13.2013 06,18,13

NAMSOS,12.13.2013 20,736,509

BJUGN,12.13.2013 00,25,17

FLATANGER,12.13.2013 14,136,85

KVITESEID,12.13.2013 12,273,195

MELHUS,12.13.2013 07,1014,591

ANDEBU,12.13.2013 23,89,68

ETNE,12.13.2013 00,25,14

KARM?Y,12.13.2013 22,580,376

NAMSOS,12.13.2013 21,633,428

BJUGN,12.13.2013 01,30,4

FLATANGER,1

LESJA,12.13.2013 07,81,52

MELHUS,12.13.2013 08,1424,760

AND?Y,12.13.2013 00,35,27

ETNE,12.13.2013 01,34,15

KVITESEID,12.13.2013 13,321,216

LUSTER,12.13.2013 21,325,230

NAMSOS,12.13.2013 22,655,397

BJUGN,12.13.2013 02,37,8

KARM?Y,12.13.2013 23,403,265

LESJA,12.13.2013 08,126,87

MELHUS,12.13.2013 09,1371,782

AND?Y,12.13.2013 01,15,12

ETNE,12.13.2013 02,11,8

KVITESEID,12.13.2013 14,365,240

LUSTER,12.13.2013 22,234,164

NAMSOS,12.13.2013 23,470,286

BJUGN,12.13.2013 03,3,2

KAUTOKEINO,12.13.2013 00,34,26

LESJA,12.13.2013 09,183,120

MELHUS,12.13.2013 10,1414,857

AND?Y,12.13.2013 02,10,9

ETNE,12.13.2013 03,9,4

KVITESEID,12.13.2013 15,303,211

LUSTER,12.13.2013 23,140,109

NAMSSKOGAN,12.13.2013 00,4,4

BJUGN,12.13.2013 04,9,6

KAUTOKEINO,12.13.2013 01,28,13

LESJA,12.13.2013 10,187,125

MELHUS,12.13.2013 11,1264,747

AND?Y,12.13.2013 03,9,4

ETNE,12.13.2013 04,8,6

KVITESEID,12.13.2013 16,308,219

LYNGDAL,12.13.2013 00,49,38

NAMSSKOGAN,12.13.2013 01,2,2

BJUGN,12.13.2013 05,7,4

KAUTOKEINO,12.13.2013 02,11,9

LESJA,12.13.2013 11,219,150

MELHUS,12.13.2013 12,1237,753

AND?Y,12.13.2013 04,9,4

ETNE,12.13.2013 05,31,16

KVITESEID,12.13.2013 17,274,192

LYNGDAL,12.13.2013 01,18,15

NAMSSKOGAN,12.13.2013 02,4,2

BJUGN,12.13.2013 06,25,25

KAUTOKEINO,12.13.2013 03,5,3

LESJA,12.13.2013 12,223,148

MELHUS,12.13.2013 13,1477,905

AND?Y,12.13.2013 05,14,10

ETNE,12.13.2013 06,54,37

KVITESEID,12.13.2013 18,252,188

LYNGDAL,12.13.2013 02,11,10

NAMSSKOGAN,12.13.2013 03,2,1

BJUGN,12.13.2013 07,114,87

KAUTOKEINO,12.13.2013 04,3,3

LESJA,12.13.2013 13,235,146

MELHUS,12.13.2013 14,1678,970

AND?Y,12.13.2013 06,30,24

ETNE,12.13.2013 07,152,110

KVITESEID,12.13.2013 19,212,141

LYNGDAL,12.13.2013 03,3,3

NAMSSKOGAN,12.13.2013 04,4,4

BJUGN,12.13.2013 08,240,168

KAUTOKEINO,12.13.2013 05,7,6

LESJA,12.13.2013 14,242,154

MELHUS,12.13.2013 15,1732,1076

AND?Y,12.13.2013 07,158,116

ETNE,12.13.2013 08,290,186

KVITESEID,12.13.2013 20,173,118

LYNGDAL,12.13.2013 04,9,9

NAMSSKOGAN,12.13.2013 06,7,7

BJUGN,12.13.2013 09,409,258

KAUTOKEINO,12.13.2013 06,20,13

LESJA,12.13.2013 15,244,158

MELHUS,12.13.2013 16,1524,969

AND?Y,12.13.2013 08,286,205

ETNE,12.13.2013 09,383,249

KVITESEID,12.13.2013 21,117,87

LYNGDAL,12.13.2013 05,15,14

NAMSSKOGAN,12.13.2013 07,37,27

BJUGN,12.13.2013 10,445,285

KAUTOKEINO,12.13.2013 07,75,59

LESJA,12.13.2013 16,203,138

MELHUS,12.13.2013 17,1240,768

AND?Y,12.13.2013 09,378,245

ETNE,12.13.2013 10,406,252

KVITESEID,12.13.2013 22,142,103

LYNGDAL,12.13.2013 06,44,37

NAMSSKOGAN,12.13.2013 08,64,52

BJUGN,12.13.2013 11,429,278

KAUTOKEINO,12.13.2013 08,220,143

LESJA,12.13.2013 17,178,130

MELHUS,12.13.2013 18,922,625

AND?Y,12.13.2013 10,631,357

ETNE,12.13.2013 11,376,228

KVITESEID,12.13.2013 23,62,45

LYNGDAL,12.13.2013 07,217,167

NAMSSKOGAN,12.13.2013 09,103,71

BJUGN,12.13.2013 12,451,295

KAUTOKEINO,12.13.2013 09,304,188

LESJA,12.13.2013 18,103,82

MELHUS,12.13.2013 19,818,547

AND?Y,12.13.2013 11,610,407

ETNE,12.13.2013 12,409,260

KVITS?Y,12.13.2013 00,10,2

LYNGDAL,12.13.2013 08,505,343

NAMSSKOGAN,12.13.2013 10,113,74

BJUGN,12.13.2013 13,542,348

KAUTOKEINO,12.13.2013 10,357,216

LESJA,12.13.2013 19,151,110

MELHUS,12.13.2013 20,674,464

AND?Y,12.13.2013 12,626,380

ETNE,12.13.2013 13,390,269

KVITS?Y,12.13.2013 01,4,1

LYNGDAL,12.13.2013 09,679,444

NAMSSKOGAN,12.13.2013 11,100,64

BJUGN,12.13.2013 14,514,327

KAUTOKEINO,12.13.2013 11,430,252

LESJA,12.13.2013 20,162,120

MELHUS,12.13.2013 21,584,367

AND?Y,12.13.2013 13,676,415

ETNE,12.13.2013 14,527,328

KVITS?Y,12.13.2013 02,2,2

NAMSSKOGAN,12.13.2013 12,116,68

BJUGN,12.13.2013 15,510,340

KAUTOKEINO,12.13.2013 12,446,257

LESJA,12.13.2013 21,102,81

MELHUS,12.13.2013 22,411,277

AND?Y,12.13.2013 14,685,433

ETNE,12.13.2013 15,559,357

KVITS?Y,12.13.2013 04,2,2

NAMSSKOGAN,12.13.2013 13,103,60

BJUGN,12.13.2013 16,335,236

KAUTOKEINO,12.13.2013 13,371,233

LESJA,12.13.2013 22,74,60

MELHUS,12.13.2013 23,301,193

AND?Y,12.13.2013 15,612,388

ETNE,12.13.2013 16,436,281

KVITS?Y,12.13.2013 06,6,4

LYNGDAL,12.13.2013 12,955,623

NAMSSKOGAN,12.13.2013 14,132,89

BJUGN,12.13.2013 17,313,212

KAUTOKEINO,12.13.2013 14,461,274

LESJA,12.13.2013 23,47,36

MEL?Y,12.13.2013 00,67,51

AND?Y,12.13.2013 16,436,298

ETNE,12.13.2013 17,379,259

KVITS?Y,12.13.2013 07,19,16

LYNGDAL,12.13.2013 13,999,633

NAMSSKOGAN,12.13.2013 15,117,79

BJUGN,12.13.2013 18,250,184

KAUTOKEINO,12.13.2013 15,473,263

LEVANGER,12.13.2013 00,74,50

MEL?Y,12.13.2013 01,21,13

AND?Y,12.13.2013 17,339,224

ETNE,12.13.2013 18,282,211

KVITS?Y,12.13.2013 08,31,21

LYNGDAL,12.13.2013 14,1248,780

NAMSSKOGAN,12.13.2013 16,98,62

BJUGN,12.13.2013 19,257,192

KAUTOKEINO,12.13.2013 16,382,234

LEVANGER,12.13.2013 01,93,45

MEL?Y,12.13.2013 02,13,9

AND?Y,12.13.2013 18,365,270

ETNE,12.13.2013 19,301,196

KVITS?Y,12.13.2013 09,29,24

LYNGDAL,12.13.2013 15,1316,816

NAMSSKOGAN,12.13.2013 17,65,57

BJUGN,12.13.2013 20,217,154

KAUTOKEINO,12.13.2013 17,316,196

LEVANGER,12.13.2013 02,52,21

MEL?Y,12.13.2013 03,8,7

AND?Y,12.13.2013 19,370,275

ETNE,12.13.2013 20,214,152

KVITS?Y,12.13.2013 10,36,30

LYNGDAL,12.13.2013 16,941,646

NAMSSKOGAN,12.13.2013 18,94,54

BJUGN,12.13.2013 21,205,149

KAUTOKEINO,12.13.2013 18,338,205

LEVANGER,12.13.2013 03,53,20

MEL?Y,12.13.2013 04,20,13

AND?Y,12.13.2013 20,341,249

ETNE,12.13.2013 21,155,114

KVITS?Y,12.13.2013 11,50,37

LYNGDAL,12.13.2013 17,780,545

NAMSSKOGAN,12.13.2013 19,66,54

BJUGN,12.13.2013 22,134,95

KAUTOKEINO,12.13.2013 19,306,190

LEVANGER,12.13.2013 04,42,20

MEL?Y,12.13.2013 05,26,18

AND?Y,12.13.2013 21,390,279

ETNE,12.13.2013 22,140,102

KVITS?Y,12.13.2013 12,51,36

LYNGDAL,12.13.2013 18,673,447

NAMSSKOGAN,12.13.2013 20,50,38

BJUGN,12.13.2013 23,107,66

KAUTOKEINO,12.13.2013 20,256,174

LEVANGER,12.13.2013 05,62,35

MEL?Y,12.13.2013 06,82,62

AND?Y,12.13.2013 22,322,210

ETNE,12.13.2013 23,87,57

KVITS?Y,12.13.2013 13,46,30

LYNGDAL,12.13.2013 19,678,451

NAMSSKOGAN,12.13.2013 21,38,23

BOD?,12.13.2013 00,262,144

KAUTOKEINO,12.13.2013 21,242,158

LEVANGER,12.13.2013 06,196,125

MEL?Y,12.13.2013 07,355,234

AND?Y,12.13.2013 23,178,129

ETNEDAL,12.13.2013 00,7,5

KVITS?Y,12.13.2013 14,66,47

LYNGDAL,12.13.2013 20,555,376

NAMSSKOGAN,12.13.2013 22,50,28

BOD?,12.13.2013 01,74,51

KAUTOKEINO,12.13.2013 22,233,139

LEVANGER,12.13.2013 07,828,476

MEL?Y,12.13.2013 08,527,330

AREMARK,12.13.2013 00,3,2

ETNEDAL,12.13.2013 02,1,1

KVITS?Y,12.13.2013 15,50,34

LYNGDAL,12.13.2013 21,443,317

NAMSSKOGAN,12.13.2013 23,19,13

BOD?,12.13.2013 02,44,34

KAUTOKEINO,12.13.2013 23,166,99

LEVANGER,12.13.2013 08,1033,659

MEL?Y,12.13.2013 09,684,422

AREMARK,12.13.2013 01,1,1

ETNEDAL,12.13.2013 04,2,2

KVITS?Y,12.13.2013 16,65,46

LYNGDAL,12.13.2013 22,369,248

NANNESTAD,12.13.2013 00,96,72

BOD?,12.13.2013 03,27,14

KLEPP,12.13.2013 00,40,35

LEVANGER,12.13.2013 09,1381,833

MEL?Y,12.13.2013 10,809,511

AREMARK,12.13.2013 02,5,3

ETNEDAL,12.13.2013 05,7,5

KVITS?Y,12.13.2013 17,50,40

LYNGDAL,12.13.2013 23,213,145

NANNESTAD,12.13.2013 01,30,23

BOD?,12.13.2013 04,36,28

KLEPP,12.13.2013 01,49,15

LEVANGER,12.13.2013 10,1502,898

MEL?Y,12.13.2013 11,787,500

AREMARK,12.13.2013 03,3,1

ETNEDAL,12.13.2013 06,12,9

KVITS?Y,12.13.2013 18,50,37

LYNGEN,12.13.2013 00,35,25

NANNESTAD,12.13.2013 02,24,10

BOD?,12.13.2013 05,56,43

KLEPP,12.13.2013 02,37,10

LEVANGER,12.13.2013 11,1547,977

LYNGEN,12.13.2013 01,12,10

MEL?Y,12.13.2013 12,924,546

AREMARK,12.13.2013 05,7,5

ETNEDAL,12.13.2013 07,28,23

KVITS?Y,12.13.2013 19,37,33

LEVANGER,12.13.2013 12,1650,1035

LYNGEN,12.13.2013 02,3,3

NANNESTAD,12.13.2013 03,11,11

BOD?,12.13.2013 06,199,136

KLEPP,12.13.2013 03,40,13

LEVANGER,12.13.2013 13,2011,1208

LYNGEN,12.13.2013 03,5,5

MEL?Y,12.13.2013 13,976,602

AREMARK,12.13.2013 06,4,4

ETNEDAL,12.13.2013 08,69,56

KVITS?Y,12.13.2013 20,55,34

LEVANGER,12.13.2013 14,2268,1301

LYNGEN,12.13.2013 04,3,3

NANNESTAD,12.13.2013 04,21,14

BOD?,12.13.2013 07,624,440

KLEPP,12.13.2013 04,38,11

LEVANGER,12.13.2013 15,2173,1274

LYNGEN,12.13.2013 05,11,9

MEL?Y,12.13.2013 14,1006,648

AREMARK,12.13.2013 07,39,25

ETNEDAL,12.13.2013 09,140,82

KVITS?Y,12.13.2013 21,38,27

LEVANGER,12.13.2013 16,1715,1106

LYNGEN,12.13.2013 06,28,23

NANNESTAD,12.13.2013 05,27,23

BOD?,12.13.2013 08,1266,810

KLEPP,12.13.2013 05,69,38

LEVANGER,12.13.2013 17,1348,867

LYNGEN,12.13.2013 07,80,61

MEL?Y,12.13.2013 15,1007,636

AREMARK,12.13.2013 08,62,48

ETNEDAL,12.13.2013 10,117,76

KVITS?Y,12.13.2013 22,21,19

LEVANGER,12.13.2013 18,1148,741

LYNGEN,12.13.2013 08,176,129

NANNESTAD,12.13.2013 06,150,105

BOD?,12.13.2013 09,1659,995

KLEPP,12.13.2013 06,238,171

KVITS?Y,12.13.2013 23,32,15

LEVANGER,12.13.2013 19,1011,675

LYNGEN,12.13.2013 09,266,181

MEL?Y,12.13.2013 16,734,496

AREMARK,12.13.2013 09,91,61

ETNEDAL,12.13.2013 11,119,85

KV?FJORD,12.13.2013 00,31,27

LEVANGER,12.13.2013 20,867,602

LYNGEN,12.13.2013 10,309,205

NANNESTAD,12.13.2013 07,383,279

BOD?,12.13.2013 10,2257,1326

KLEPP,12.13.2013 07,528,400

KV?FJORD,12.13.2013 01,14,9

LEVANGER,12.13.2013 21,609,436

LYNGEN,12.13.2013 11,351,227

MEL?Y,12.13.2013 17,568,392

AREMARK,12.13.2013 10,76,62

ETNEDAL,12.13.2013 12,123,86

KV?FJORD,12.13.2013 02,6,6

LEVANGER,12.13.2013 22,480,331

LYNGEN,12.13.2013 12,309,209

NANNESTAD,12.13.2013 08,685,471

BOD?,12.13.2013 11,2246,1380

KLEPP,12.13.2013 08,933,608

KV?FJORD,12.13.2013 03,6,5

LEVANGER,12.13.2013 23,266,202

MEL?Y,12.13.2013 18,454,336

AREMARK,12.13.2013 11,81,56

ETNEDAL,12.13.2013 13,107,78

KV?FJORD,12.13.2013 04,6,5

LIER,12.13.2013 00,91,63

NANNESTAD,12.13.2013 09,706,476

BOD?,12.13.2013 12,2625,1524

KLEPP,12.13.2013 09,1083,700

KV?FJORD,12.13.2013 05,11,10

LIER,12.13.2013 01,31,24

MEL?Y,12.13.2013 19,532,373

AREMARK,12.13.2013 12,86,59

ETNEDAL,12.13.2013 14,166,107

KLEPP,12.13.2013 10,1214,757

KV?FJORD,12.13.2013 06,33,21

LIER,12.13.2013 02,27,20

NANNESTAD,12.13.2013 10,894,573

BOD?,12.13.2013 13,3058,1770

KLEPP,12.13.2013 11,1132,735

KV?FJORD,12.13.2013 07,145,98

LIER,12.13.2013 03,12,12

MEL?Y,12.13.2013 20,492,349

AREMARK,12.13.2013 13,70,55

ETNEDAL,12.13.2013 15,172,105

KLEPP,12.13.2013 12,1229,810

KV?FJORD,12.13.2013 08,165,115

NANNESTAD,12.13.2013 11,846,558

BOD?,12.13.2013 14,3181,1911

KLEPP,12.13.2013 13,1517,982

KV?FJORD,12.13.2013 09,243,160

MEL?Y,12.13.2013 21,409,291

AREMARK,12.13.2013 14,130,87

ETNEDAL,12.13.2013 16,150,103

KLEPP,12.13.2013 14,1647,1057

KV?FJORD,12.13.2013 10,299,193

NANNESTAD,12.13.2013 12,934,594

BOD?,12.13.2013 15,3130,1850

KLEPP,12.13.2013 15,1674,1073

KV?FJORD,12.13.2013 11,294,191

MEL?Y,12.13.2013 22,377,255

AREMARK,12.13.2013 15,154,96

ETNEDAL,12.13.2013 17,105,77

KLEPP,12.13.2013 16,1281,895

NANNESTAD,12.13.2013 13,1224,735

BOD?,12.13.2013 16,2260,1460

ETNEDAL,12.13.2013 18,87,70

KLEPP,12.13.2013 17,1036,701

MEL?Y,12.13.2013 23,204,164

AREMARK,12.13.2013 16,112,77

ETNEDAL,12.13.2013 19,100,68

KLEPP,12.13.2013 18,894,614

NANNESTAD,12.13.2013 14,1318,848

BOD?,12.13.2013 17,1835,1211

ETNEDAL,12.13.2013 20,63,48

KLEPP,12.13.2013 19,807,553

MER?KER,12.13.2013 00,11,8

AREMARK,12.13.2013 17,92,68

ETNEDAL,12.13.2013 21,67,51

NANNESTAD,12.13.2013 15,1242,831

BOD?,12.13.2013 18,1642,1083

ETNEDAL,12.13.2013 22,53,39

MER?KER,12.13.2013 01,13,5

AREMARK,12.13.2013 18,90,57

ETNEDAL,12.13.2013 23,29,17

NANNESTAD,12.13.2013 16,1142,772

BOD?,12.13.2013 19,1458,1020

EVENES,12.13.2013 00,25,20

MER?KER,12.13.2013 03,1,1

AREMARK,12.13.2013 19,75,53

BOD?,12.13.2013 20,1345,901

NANNESTAD,12.13.2013 17,937,639 BOD?,12.13.2013 21,1013,676

NANNESTAD,12.13.2013 18,713,520 BOD?,12.13.2013 22,751,534

NANNESTAD,12.13.2013 19,658,441 BOD?,12.13.2013 23,601,421

NANNESTAD,12.13.2013 20,598,438

AREMARK,12.13.2013 20,67,53

MER?KER,12.13.2013 04,1,1 AREMARK,12.13.2013 21,67,50

MER?KER,12.13.2013 05,11,7 AREMARK,12.13.2013 22,45,28

MER?KER,12.13.2013 06,29,20

51

MER?KER,12.13.2013 07,94,52

on 5000 use s pe mun c pa y n a o No way ove he me

AREMARK,12.13.2013 23,21,14

Based on wha we knew abou Te eno s da a we eques ed a

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Working with CDR data

E X P L O R AT I O N

Plotting and reading data The team at Telenor introduced us to Tableau, a data analyzing software that allows drag-and-drop of variables for automatic data visualizations. This saved us a lot of time as we were expecting to have to write code in Processing to visualize the data.

By plotting out the data on paper we were able to get a more holistic view of the variations than we could on our computer screens. For example, Oslo being the largest city in Norway, expectedly shows the greatest level of activation.

N A R R OW I N G T H E S CO PE Based on having seen the size of the data set from the Tableau visualisations we deliberately chose to scale down the data set to a few cities with few datapoints (3 cities x 24 hours). This would make the transferring of the data to Arduino and building the physical structure of it less complex and time-consuming, but keeping the possibility to upscale later.

After some online research we found that Ă˜rsta, Randaberg and Holmestrand has the same number of inhabitants, but very different numbers and timings of calls. Looking at demographics and including infromation gleaned from each location’s proximity to larger cities we were able to make some assumptions as to why the data was so different.

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E X P L O R AT I O N

Findings in the CDR data It’s Friday the 13th of December 2013. The amount of phone calls is divided into 24 hours in three different municipalities.

What can we see? One can assume a lot based on what kind of people live in the different municipalities and based on time of the year. It was St. Lucy’s day. It was the end of the week. Near the Christmas holidays, students are having their final exams, and it’s the beginning of a weekend with ChristR A N DA B E R G

mas office parties.

R A N DA B E R G has the least phone call activity during the night and during the day.

Randaberg has an older population with more commuters that travel into Stavanger.

H O L M E S T R A N D Has a higher number of phonecalls in the morning from 5 am until 8 am.

Holmestrand has many commuters going to Drammen, Tøns-

HOLMESTR AND

berg and Oslo. They have a Hydro factory.

Do they make phonecalls earlier because they are commuters that wake up earlier? Ø R S TA makes the most phone calls in the hours after midnight and the most phonecalls after 10 am, when it has a greater number than Holmestrand. Ørsta is the neighbor municipality of Volda where the population is skewed towards young people and students. There is a culture for “Rånere”, with the closest translation being

Ø R S TA

Greasers.

Are there a lot of phone calls made after midnight because people are going home from their Christmas parties and need a cab?

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E X P L O R AT I O N

Making a prototype We started asking questions as to what we are seeing, and we could have continued the research to validate the patterns or compare with other data sets, for example how many phone calls did the taxi companies receive in Ă˜rsta on that date after midnight.

However, since this project is not mainly about data analytics, we drew the line for data insight here. We then moved on to the process of making the data physical through light.

With a lot of assistance from one of our supervisors, Nick Stevens, we were able to write the code in one day. For the prototype we laser cut a model of Norway in wood and acrylic with holes for the LEDs in the position of the three cities.

Learning outcomes The data is too large to be seen in its entirety on screen. By plotting the data out on paper it was easier to get an overview, but this printed data was immediately perceived as historic data by the viewers, which is true. By making the data physical and adding time as a dimension, the viewers immediately interpreted it as real-time; asking:

ÂŤAre those phone calls happening right now?Âť Communicating data and experimenting with the advantages of using light was something we were able to spend more time on from this point. We were familiar with the process of reading and understanding data and had established an efficient workflow with Telenor.

We use blinking for conveying amount of activity, however humans perceive blinking frequencies between 4 and 8 hertz the most intense so when the amount of activity exceeded that frequency it was perceived as calmer. This was partly the reason we at a later stage decided not to go with blinking to display data.

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E X P L O R AT I O N

1

2

3

4

5

6

7

8

9

10 hz

11 hz

12 hz

13 hz

14 hz

15 hz

16 hz

L - max

L

L - min

4 to 8 Hertz is visually the most intense

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To see the musical in its entirety, go to: https://www.youtube.com/watch?v=awMvJ2-FYWY

E X P L O R AT I O N

KOY D O N

The purpose of this module was to work with light without the data component on a large scale.

The musical “Koydon - Legenden om Havfolket “was to be set up in Jakobs kirken with a budget of 10.000 NOK for scenography. We were in charge of the scenography in collaboration with students from AHO, Lucinda Baggett and Peik Elias Greaker. in particular the director requested additional effects for one scene as well as a decoration by the entrance. We got free reins regarding the aesthetics.

Large scale building Together with Lucinda and Peik we arrived on a concept which included moving reflections on stage by the entrance.

We decided to laser cut mirror acrylic that we would suspend from the ceiling and use a reflective material, Mylar, for the floor. We wrote several schedules, modifying as we discovered what took the least and the most time. The laser cutting and the assembly of the triangles was time-consuming, and help from the cast was required for peeling the foil of the acrylic and assembling them on the string. Laying down the Mylar on the floor had to be done when the cast weren’t rehearsing, so having to adjust our work schedule to other peoples work was also a learning outcome. The entrance came together the last day with leftovers from the stage. There was one scene, the noctilucales scene, that consisted of a LED strip lighting up to a cue in the music, and the installation from the entrance was put up on stage for the second show for added effect.

Learning outcome Things take time, and be prepared for the unforeseen. Large scale requires planning and it is good to get help for mundane tasks. Be flexible for adjustments, have a plan b and c. It is difficult to plan without access to context, and it makes testing hard. Working alongside other disciplines requires clear communication.

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E X P L O R AT I O N

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Things to consider This is a list we made after our research phase. It was a summary of things to consider for the remaining process, but it should not be seen as a complete list.

N A R R AT I V E - E M OT I O N A L Non-linear discovery Offer a story world Entry point to gain understanding Audience can notice comments they did Invitation plan Don’t expect people to stay, give seatings Engage less or simplify 50% by us, the rest with or by the public - cocreation Bypassing regularily or VIPs Be about all the things people care about 3 levels of information How do you know its phonecalls?

Where will people move?

STRUCTUR AL Viewer distance Light Distance Scaleability Modular FUNC TIONAL Automatic sequences Tempo/movement Have a program - different things in different weeks Positional sound Interaction between people - generate data CO N T E N T S News/happenings How the weather affects communication Leisure activities in Norway

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Engage less or simplify

Scaleability

Modularity

Be about all the things people care about

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01 02 03 04 05 06 DATA & C O N C E P T

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DATA & CO N C E P T

DATA : B E H AV I O R In the three data sets Telenor provided a possibillity for us to work with we could learn about people’s habits when it comes to digital communication.

We held a workshop to learn more about Telenor’s data sets, to learn and understand the worksflow of the data analysts, and see how we could fit in with their work. A lot of what they told us were completely new to us and difficult to understand.

We got the impression that workshops was something new to them and they were not used to explaining their data sets to complete outsiders, nor did they have a good overview digitally that they could hand over. We spent quite some time wrapping our heads around the data trying to understand how we could work with this. Weekly meetings, and with tips from the guys at Telenor we gradually earned a better understanding.

The data covers a lot of the communication we do today which is through mediums such as sms, email and social messaging apps such as Facebook Messenger, Snapchat or Whatsapp. We look more and more down on our screens than up at our surroundings. We look at our surroundings through our mobile screens as we take blurry images of our experiences. (Nkom.no, 2013) To us it was very interesting to try to visualize how we use our phones, which today is mostly small screens, tangibly. Perhaps ending the loop on a screen, perhaps posted on an Instagram account by an audience.

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MLP Data The MLP data set is the smallest data set of the three and the one with precise real-time positioning.

S T R E N G T H S Nearly real-time W E A K N E SS E S Few people, will it be interesting to others than the team? Position is not precise.

O PP O R T U N I T I E S Play with people’s understanding of GPS preciseness T H R E AT S There are a lot of companies out there such as Google,

W H AT

or Open Paths that have richer data in real-time postitions. (Labs,

Real-time tracking of location from Telenor sim cards.

2015) It could be considered sensitive information to share realtime postitions of individuals in public, even though it it not precise

WHO

down to the meter.

7 people from the research team at Telenor + us.

Works within Scandinavia.

WHEN Pushes a position every 5 minutes.

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Device Analyzer Device Analyzer - the medium sized data set that is particularly detail rich on phone usage.

The Device Analyzer is part of a larger project at Cambridge UK. Telenor has data on 600 volunteer users in Norway and 2700 in Bangladesh over the course of 3 months. Variables are data on anything you can track from an Android phone.

For example: app usage, temperature, every time the screen is turned on/off, network connectivity and battery levels.

(Deviceanalyzer.cl.cam.ac.uk, 2015) W H AT Historic data, tracks anything from an Android Device that has voluntarily instalLED the app.

WHO 667 users in Norway, 2500 users in Bangladesh WHEN 3 first months of 2013.

S T R E N G T H S We can see how a user switches from one app to the other to communicate. Possibilities are endless as to the detail of information that can be obtained from a user.

W E A K N E SS E S There are not enough users to draw any conclusions on general patterns. It is complex and in parts not pre-processed by Telenor which means it can take a lot of time for the back-end to be finished.

O PP O R T U N I T I E S We could use it to add detail to another data set. We could work with individual patterns. We could apply to Cambridge to get data on more users.

T H R E AT S Working with individuals we would have to be very careful to not to release any sensitive info that could make the individual recognizable. There are others with access to a larger group of users to this data set outside of Norway.

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CDR Data CDR is the largest data set containing anonymous phone call records with positioning.

W H AT Historic, Records phone calls and location of basestation when phone calls are made. Mostly these are aggregated on a-number, b-number (then sum of sms, voice counts, voice duration etc) WHO 2.1 million users in Norway.

WHEN All of 2013.

S T R E N G T H S Many users allow us to see patterns in almost half of Norway. No one else has a larger data set on Norwegian phone calls. Telenor has worked with this data set for years and the team knows it very well, but still there are endless possibilities they haven’t explored.

W E A K N E SS E S Limited details and duration. Statistically phone calls does not dominate the communication we do today.

O PP O R T U N I T I E S See how the social networks of Norwegians develop over time. See how they make phone calls in the public space. See how we use phone calls in a time where apps and online communication dominates.

T H R E AT S Might require heavy data analysis on Telenor’s end, which can become too time-consuming.

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WORKSHOP

Will it trigger a reflection

W h o i s t h i s?

o r g i ve a n i m p a c t ?

W hy t h i s p e r s o n?

B a c kg r o u n d?

The purpose of this workshop was to

W hy c a n t h i s d a t a s e t s

I n t e r e s t s?

e n g a g e o r p r ovo ke t h e

Fe e l i n g s?

persona with its content?

Pe r s o n a l i t y t r a i t s?

P a i n p o i n t s?

explore scenarios and develop ideas around Telenor’s data sets as to what interesting stories we can tell.

TOP 3 PERSONAS

W H O C A N W E C O M M U N I C AT E T O ?

We also wanted to produce workshop-aids as well as execut-

3 DATA S E T S F O R E AC H P E R S O N A

W H AT C A N W E C O M M U N I C AT E T O T H E PER SO N A?

ing a workshop. We used the idea cards in the workshop to force associations and help the participants generate ideas.

We invited people from Telenor as well as designers from

E x p l a i n w hy t h i s i s a n i n t e r e s t i n g /r e l ev a n t c o n t ex t with the selected data.

W hy t h iIsn tpeerressotn? s?

o cr egsisve im (n o t n e a r ial yn o pp t iamc at ? l) r e f lceacttiioonn. e nW g ai lgl ei tmterni g t goer r par ovo c t ?s W hyo rc agni ve t h iasn di amtpa as e

Pe r s o n a l Ii n t yt etrreasi t s?

P a iFe n peol iinngt s?

hy ca sW oun ab e w tg ht th i thissi scdo netnt?sa a s c e n a r i o poef ryo iinn panet ta r esso ovo t hte. a n d ex p e r i e n c i e nn g gtahgeedoart ap ri n c oke n t ex

t nt rai gsgc ea rl ea orfe rf e l eacl ti si o s hW e ei ltl: io t inc

W h o i s t h i s?

W hy t h i s p e r s o n? o irso tuhnid? s?

BW a chkg

AHO. Each group consisted of three people, two people

B a c Fe kg e ro l iunngd? s?

internally from Telenor and one designer. Several short tasks were given resulting in a final “scenario” and presentation of

Pe r s o n a l i t y t r a i t s?

p e r s o n a2 w o na txei un m t ?. mi itnhuittess cm

SCENARIO

3 CONTEXTS/PL ACES

C OS N B EE IANC H C OPN 3D ADTAAT A E T SE NF TO R ET RE SX OTN?A

P E R S O N A W I T H T H I S DATA?

W H AT W I L L T H E E X P E R I E N C E O F T H E TOP 3 PERSONAS

W H O C A N W E C O M M U N I C AT E The workshop was divided into 5 different parts with 4 task TOP 3 PERSONAS

TO?

W H O C A N W E C O M M U N I C AT E T O ?

cards for the last 4 parts. In addition to the premade idea

cards we also produced templates that we used for writing/ drawing/ideation during the workshop.

3 EDRA SE P S TOAN A ? TS FOR EACH PERSONA

W H AT C A N W E C O M M U N I C AT E T O T H E PER SO N A? E x p l a i n w hy t h i s i s a n

M a p o u t t h e p e r s o n a s j o u r n ey o n t h e

i n t e r e s t i n g /r e l ev a n t c o n t ex t

M a p o u t t h e (n pe o rt snoencaess jsoaur ri lnyey o potni mt ahle)

i n t e r ewsittihn gt /r an h ee lsev ele c t ecdo n dtaex t a t.

(n o t n e c e s s a r i l y o p t i m a l )

w i t h t hWe hy s e tl ehci st epde rdsaotn? a.

s h e e t : o n a sSceal el ec to 1 f rpeaailriisntgi c.

p lpaoi ns ewthy an t oE xex h i st hpiesr isso n a

sh f r ecaaltiisotni c. e ne gea tg:eomne an ts coar l e p roovo

a s c e n a r i o o f yo u b e i n g t h i s p e r s o n a

I n t e r e s t s?

Pe r s o n a l i t y t r a i t s?

an c t ex o utt. a n d ex p e r i e n c i n g t hPer edpaat raei nt oc o

2. Audience/Personas: Who can we communicate to?

a n d ex p e r i e n c i n g t h e d a t a i n c o n t ex t .

3 CONTEXTS/PL ACES

S OT E N T B E I N CO N T E X T ?

DC AET N A ACROI N

3 ECRO NT T SI T/ P C IESS D A T A ?

P SO NEAX W HL TAH

W H AT W I L L T H E E X P E R I E N C E O F T H E DATA C O N T E N T B E I N C O N T E X T ?

Part one was a verbal warm up exercise where the Telenor

WHERE CAN WE ENGAGE THE

WHERE CAN WE ENGAGE THE P H ATSH I S D A T A ?

TE ORPS O 3 N PA E RW S IOTN

W H O C A N W E C O M M U N I C AT E T O ?

3 DATA S E T S F O R E AC H P E R S O N A

W H AT C A N W E C O M M U N I C AT E T O T H E PER SO N A?

participants briefly had to practice explaining datases. For part 2, 4 and 5 the participants got envelopes with three preselected cards in each. None of the groups got the same

persona with its content?

P a i n p o i n t s?

SCENARIO

W H AT W I L L T H E E X P E R I E N C E O F T H E

W hy c a n t h i s d a t a s e t s e n g a g e o r p r ovo ke t h e

Fe e l i n g s?

2 minutes maxium.

4. Context/Places: Where can we engage them with this?

o r g i ve a n i m p a c t ?

B a c kg r o u n d?

a s c e n a r i o o f yo u b i ni n guttheiss m pe om n a.

2 em a rxsi u

databases?

Will it trigger a reflection

t o ex p o s e tW h ihsopiesr ts hoins? a

t o ac catt ioount.

1. Warm-up: What is your favorite data set from Telenor’s e n g a g e m ePnrteopra pr er ovo

5. Scenario: What will their experience of it be like?

WHERE CAN WE ENGAGE THE

W H AT C A N W E C O M M U N I C AT E T O T H E

Selec t 1 pairing.

3. Data sets: What can we communicate to them?

t o ex p o s e t h i s p e r s o n a

e n g aP gree o p ra rper ovo t o ake c t tohuet

P a i n p o i n t s?

this at the end.

Workshop program

Selec t 1 pairing.

M a p o u t t h e p e r s o n a s j o u r n ey o n t h e

Selec t 1 pairing.

E x p l a i n w hy t h i s i s a n

M a p o u t t h e p e r s o n a s j o u r n ey o n t h e

i n t e r e s t i n g /r e l ev a n t c o n t ex t

cards and they were asked to prioritize them after what was

sheet: on a scale of realistic

t o ex p o s e t h i s p e r s o n a

(n o t n e c e s s a r i l y o p t i m a l )

with the selected data.

e n g a g e m e n t o r p r ovo c a t i o n .

more interesting and relevant. For part 3, each group got 3

Prepare to ac t out

blank cards where they together needed to define 3 data

a n d ex p e r i e n c i n g t h e d a t a i n c o n t ex t .

a s c e n a r i o o f yo u b e i n g t h i s p e r s o n a 2 minutes maxium.

sets.

SCENARIO

3 CONTEXTS/PL ACES

DATA C O N T E N T B E I N C O N T E X T ?

P E R S O N A W I T H T H I S DATA?

W H AT W I L L T H E E X P E R I E N C E O F T H E

WHERE CAN WE ENGAGE THE

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Learning outcomes For these tasks, we allowed the workshop participants to freely identify or imagine a recipient, to identify real Telenor data sets to which it would be interesting to expose this person, and in which context this should be.

We were not specific as to whether this person’s role was that of a viewer or employer for the project, and this was interpreted differently in the groups. It became apparent that we had not been sufficiently specific about the data sets having to be real Telenor data sets. We had also not been specific enough as to whether the data was tracked from the personas, to be used to their advantage or just to trigger attention and awareness. Participants were told that the tasks were more like guidelines rather than fixed rules. Participants interpreted the tasks without any problems.

Since we did not want to explore visualizations in this workshop, a lot of the ideas ended up being services. It’s interesting thinking about the audience’s role in the data visualisation eco-system. Will the users just pass by, react and think a bit different? Or will they interact, participate, affect the data and change it in an ongoing loop as time passes?

However, the main learning outcome for us was getting more insight and understanding of Telenor’s data, because they

“We learned the relevance

started talking and describing it in ways that seemed unnat-

of the creative scenario

ural before, but was more understandable to us. It was also

based workshops, and we

a good exercise for the Telenor participants to explain their

had to work on our ability to

data sets to outsiders, which also resulted in an increase of

explain our data set whatev-

our understanding of the data sets.

er their complexity”

The workshop also contributed to the Telenor research-

- Thomas Couronne,

ers’ understanding of our processes and ways of thinking

The Telenor Group

as designers. They have gained insight as to what we can contribute with and they also very much enjoyed it. We facilitated for them to think creatively and approach their data sets differently in collaboration with designers.

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E A R LY D I R E C T I O N S We brainstormed which human behavior patterns we could reliably make assumptions about in the CDR data. Based on timestamps and location you could for example find that someone is regularly in a park every morning, afternoon and evening,and guess that this person is a typical dogowner.

However we needed to keep in mind that our assumptions may be incorrect, since we could not measure real life interaction and communication. Based on phone call, sms and location data and we defined three “directions” with questions directed at Telenor (1) Behaviors and relationships, (2) Online/ Offline lives and (3) Positional Patterns.

Behaviors and relationships Based on frequency of communication and networks: Who are influential people? How do they communicate, when and how often? Can we see relationships break over time?

Do they suddenly stop communicating? Did they change mediums or did they quit being friends? Who declines incoming calls, or do not respond? Are they many? How do their relationships develop or not over time? Are these influential people? Do they have many weak ties with people, how do their strong ties show?

Online / Offline lives People are together in public, yet alone physically on a phone to be with someone else virtually far away: Can we show patterns of how groups in public spaces don’t talk to each other but to people far away? Are there patterns that would be culturally specific to Norway, and would differ in for example Asia? Can we tell who is exclusively online and ignoring their surroundings? Do they decline phone calls? Wait a long time to answer and sms? Can we tell who multitasks and are both online and offline at the same time? Do they spend a lot of time on their phone but also start communicating with new people?

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Positional Patterns Based on geopositioning and fluctuations in personal interests and personalities (group level data as individual data Possible patterns/behaviors

is considered too sensitiv): Can we see who has a dog? Do

Alcoholic/ Non-drinker

they take a short walk on certain times of the day every day?

Active/Inactive

Are there differences depending on location in the city, west

Promiscuous/Asexual

to east? Who neglects their dog? Or does it look like that

Drug addict/Not drug addict

because some of the walks are with a dog-walker? Can we

Educated/Uneducated

see who is becoming depressed over time and through social

Celebrity/Nobody

activity and movement? Can we link this to the weather and

Influential/Powerless

time of year? Can we tell how often and how many Norwe-

Dog owner/Not dog owner

gians are skiing? Do they lose connectivity and become invis-

Liar/Honest

ible?

Poor/Rich Ugly/Pretty

Conceptually the directions were interesting to Telenor, espe-

Lonely/Social

cially the one with relationships and behavior from a research

Happy/Unhappy

perspective. We think it is interesting to see patterns of

Creative/Not creative

communication between people, and it is especially relevant

Coffee drinker/Not coffee drinker

for this project since it is based on telecom data, communi-

Smoker/Non-smoker

cation is the essence of Telenor. We think it is interesting with

Connected/Disconnected

unexpected connections like saying that your phone calls

Agitated/Calm

and positioning can tell us that you have a dog, or that you

Criminal/Not criminal

are an alcoholic or other patterns about groups that seems

Single/In a relationship

unrelated to the data at first glance. This might touch upon

Shopping addicted/ Not shopping addicted

the fact that, “Yes, I know that Facebook knows a lot about

Gambler/Not gambler

me, so what?� Companies that have far less detaiLED data

Norwegian/Foreigner

can assume more than you think, then what about Facebook?

Gamer/Not gamer

Making it relatable and engaging to an audience might just

Healthy/Sick

contribute to an understanding of what conclusions one

Modest/Attention seeker

might draw from Big Data in our daily lives.

Private/Sharing Drunk/Sober Open/Reserved Sexist/Not sexist Racist/Not racist

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SKETCHING

Our early directions were inspired by a combination of our research and our understanding of the nature of the data sets and our knowledge as to what the data sets could reveal. We began sketching to further develop the directions of the project.

1. CO N N E C T I O N S Our first concrete direction was to look at the connections between people and look at how we are networked together. Through this you could explore and assume the strengths of the ties between people through duration, frequency, distance between them when they communiacte. You could also discover who might be the most connected people i.e. the most influential.

2 , 3 . F R O M CO U N T R Y TO I N D I V I D UA L Our ideas ranged from visualisations that could say something about the habits and patterns of an entire country to larger groups all the way down to individuals. Here, we were also speculating on having something that can react to a specific user, showing him/her their personal data and clarifying their habits and patterns. This could be done by signing up in advance for tracking, or (for Telenor users) sending a sms to reveal data in installation. This is an idea that we still find fascinating, and that will be possible to explore at a later stage in our final concept.

4 . COV E R AG E As the smartphone is becoming the norm of communication, and we want all content available at all times, coverage is important. We though it interesting to look at is people adapt to the amount of coverage, and if that affects our communication patterns. For example, if people change their communication habits during Easter when a lot of people travel to the mountains, where the coverage is notoriously weak. Does it force us to communicate less, or do we change the channels through which we communicate?

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1

2

3

4

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5. O N L I N E /O F F L I N E Given that people spend more and more time logged on, we developed ideas on how the data can show that someone is together physically, but communicating with someone else in a completely different place. Looking at how we are alone together.

6 . A SS U M P T I O N S When you want to say something about people or groups you can only make assumptions. Even though you can assume a lot based on the data, it will always remain assumptions since we have no way of knowing if the people previously linked together through phone call activity have fallen out of touch or simply moved on to a different medium of conversation.

7, 8 . WAYS O F R E V E A L I N G I N F O R M AT I O N We were also interested in the visibility of the data, making different aspects of the data visible through different filters or only having the data visible over time through POV (persistence of view).

Data analytics Although finding these kind of conceptualised patterns would be theoretically possible, it would require data processing beyond what is possible given the time frame of this diploma project and the time available to data analysts at Telenor for this project.

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5

6

7

8

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C D R DATA

For the prototype we chose to work with the CDR data set and phone calls made in 2013.

With a large number of users (2,1 million) and a data set with a long time span (one year) we speculated that we would be able to see patterns without employing heavy data analytics.

Having a whole year of data meant that there would be many levels within the data set that we could explore.

Presumptions Before we began exploring the data on phone calls; we wrote down our thoughts on what patterns or spikes in the data we would see.

36 5 DAYS W I T H DATA F R O M A L L O F N O R WAY With all of the country in one LED per day we assumed there would be a spike in activity on holidays, such as Christmas (capitalise) or mother’s day, and that this would be apparent in the data set. Local events that boost phone call activity in one area of the country might be visible.

36 5 DAYS W I T H LO C A L DATA We assumed that people in northern Norway would make more calls during winter than those in the south, mainly because the harsh weather conditions make encounters in person more difficult. Out of the ordinary weather might lead to more phone calls. Very high temperatures might lead to shorter duration of calls, and maybe less calls altogether. Low temperatures leads to more calls.

Local events, festivals, stories in the news or parties over the weekend or accidents might show, may lead to a spike in activity in the affected area. I.e. in less urban areas you might see higher activity during the weekend, Skøyen might have more during the week.

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When do you think we make the most phone calls during a year?

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Questionnaire To learn about other people’s presumptions we sent out a questionnaire to the students at AHO, friends on Facebook and to Telenor employees asking for their presumptions on when Norwegians make the most phone calls in general and in the year of 2013.

1. M O R E PH O N E C A L L S O N H O L I DAYS? Most of the respondents said that Norwegians make the most calls during New Years Eve, Christmas, in December or during the summer holidays, or on the national day, the 17th of May. Those are all times when most Norwegians don’t work and it’s their holiday.

2 . M O R E C A L L S I N T H E W E E K- E N D? Out of days in the week, most respondents from AHO put Friday as the day with the most phone calls made. They also thought the rest of the weekend + Monday were days with a lot of activity.

The respondents from Telenor thought a bit differently, but still Friday was thought to be the day we make the most phone calls, with Monday following that. The weekdays are thought to be more active than Saturday and Sunday.

3 . J U S T I N B I E B E R O R T H E E L E C T I O N? 2013 saw both Justin Bieber visiting Oslo and a parliamentary election. Having asked a sample of people at Telenor and through the questionnaire about which of these to would show in the data, most answered Justin Bieber without hesitation. This is, in fact, unlikely, as the present data is on phone calls and the older generations use phone calls to communicate more frequently than Justin Bieber’s younger fans. We could also assume that the older generations are of higher representation in Telenor’s customer base. It is therefore tempting to rather assume that most Telenor customers are more interested in the election and politics than in Justin Bieber.

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1. During the year 2013, when do you think Tele-

3. Which days of the week

nors customers made the most phone calls?

do you think Telenor

(150 respondents in total)

customers made the most phone calls?

New Years Eve Summer

17th of May

Christmas

Response from 89 AHO students and friends

2. Justin Bieber had a concert at Telenor Arena and there was a Parliamentary election in 2013, which one of these do you think made Telenor customers call more? (150 respondents in total)

Response from 65 Telenor Employees

Parliament Election Justin Bieber

A typical week with total amount of phone calls per day looks like this. This is week 2 in 2013.

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First glance Based on a csv file aggregated by Telenor on our request, with phone call amount, duration, number of users daily for a whole year, we were able to use Tableau to visualise and explore different levels of time.

We began looking at the total amount of phone calls and duration over twelve months (fig.1 & 2). Graphically when there are so few comparisons the differences are graphically clear as you can see.

Errors in the data When looking at the days of the year it becomes apparent that some days and hours are missing, and have less activity than they should. This is a result of how Telenor handles their data. Telenor is legally required to keep data for three months before they have to delete it.

How can we have data for a whole year then? When the data has been kept for three months, and is due for deletion, they extract this data and re-anonymize it (they change the encryption key). Sometimes when they do this the end of the quarter have already been deleted or have started the process of being deleted before all of the data has been extracted. In this data set it results in a oddly low number at the last day of each quarter (see fig.4 p. 86-87), two missing days at the end of may and one missing day at the end of September. Being true to the data, these days will remain empty in the installation and 362 days will be active.

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1

1. M O N T H LY C A L L CO U N T September clearly has a lot higher amount of calls than any other month of the year. May and June follows up as the second and third highest activity.

2

2 . M O N T H LY C A L L D U R AT I O N One could expect that September is the highest here after having looked at fig. 1. But May and June has a lot of activity on this visualisation as well, but June is remarkably higher in duration than in amount of calls and is almost as high as September.

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Rhythmic patterns There’s a seemingly even pattern throughout the year, where weekdays have nearly the same amount of activity with a drop on Saturdays and Sundays. There’s also a general drop in activity during holidays.

PR E D I C TA B I L I T Y This pattern during the year is predictable to the Telenor reasearch team. Couronne and others in the team told us that there would be no surprises. However to us, and comparing to the results of our questionnaire it would be surprising.

What they did not predict was the peak of 9th of September.

3

3 . DA I LY C A L L CO U N T The 9th of September, the day of the parliamentary election in Norway has a lot more phone calls than any other day.

4

4 . DA I LY C A L L D U R AT I O N The 8th and the 9th has the longest duration, but the 8th

!

!

which is not visible in fig. 3 also has a long duration of calls. In the month of July duration is evenly increased.

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09.09.13 Norwegian Parliamentary Election

!

!

Visible errors in the data

!

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Phone calls hourly The image on the left is an overview of amount of phone calls over 24 hours for 365 days. It is difficult to do hourly comparisons when it is displayed like this. However you can see the regular daily waves with some irregularities and the 9th of September showing very well. We thought this data might be easier to read hourly if it was displayed dynamically. We made a video sketch of this, (screenshots below) animating the week of 9th of September with 24 hours to explore this.

Later these videos would help us explain what we imagined to be displayed in light Føsker and Stevens who would be programming for us. Height of the bars would then represent light strength.

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Selected days hourly Looking at these examples of selected days over 24 hours, Doing some research online we can find out what happened these days and make assumptions as to why we are seeing

16:00

we get a different understanding of the phone call activity.

what we are seeing.

For example, there was a 2014 UEFA European Championship qualifying round the 10th of October 2013, at 15:30 between Poland 1–1 Lithuania. This was a critical game for the Norwegian national football team deciding whether they would go further in the championship or not. The game finished at 17:00 and at this time at this date the amount of phone calls

21:00

are visibly lower compared to other similar days.

S E P T E M B E R 8 T H Norwegian parliamentary election

S E P T E M B E R 9 T H Norwegian parliamentary election

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18:00

DATA & CO N C E P T

A PR I L 16T H Justin Bieber holds a concert at Telenor Arena.

15:00

Doors opened at 18:30.

12:00

M AY 16T H The day before the Norwegian Constitution Day.

13:00

M AY 17 T H The Norwegian Constitution Day

17:00

D E C E M B E R 24T H Christmas Eve

14:00

O C TO B E R 10 T H UEFA

O C TO B E R 11T H The Nobel Peace Prize Conference in Oslo: Organisation for the prohibition of chemical weapons.

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Proportions of the Norwegian Population in 2015 per age and gender. Source: SSB

MEN

WOMEN

Who is calling?

The CDR Data Set is a result of 2,1 million mobile subscrip-

based mobile phone plan Djuice which belongs to Telenor.

tions. By the end of 2013 we were 5 109 056 people in Norway.

Justin Biebers average fans are young, and we know that

There were 5863034 mobile subscriptions, and 82 percent of

younger people make less phone calls and use other medi-

the population that had a private mobile conversation on an

ums to communicate. Justin Bieber being at Telenor Arena

average day. This means that Telenor’s customers represent

certainly caused chaos, but not more phone call activity.

roughly 41 percent of the population in Norway.

The baby boomers are very well represented in Telenor’s Looking at the graph of the age group in Telenor’s customer

customer base, they are a generation that call more and

base in 2013 on the next page, and the total population of

many of the most important politcians in Norway is in that

Norway in 2013 on this page, the proportions of ages and

age group.

genders seem to match.

N OT E We can keep this in mind when we see patterns in the data,

As in most data sets there’s also errors in the data set of Tele-

but also keep in mind that different age groups have differ-

nor’s customer base. In it, half of the mobile subscriptions

ent phone usage patterns. Let’s take the example with Justin

are men born in 1900. It’s not possible that half of Telenor’s

Bieber in our questionnaire, where Telenor Employees were

customer base is a 115 years old. The analysts at Telenor

sure that he had caused a lot of phone call traffic because

told us that when companies sign up their employees for a

they were in proximity of the Telenor Arena where he held

subscription they don’t bother to fill in the correct creden-

his concert. The younger generations are well represented in

tials. In order to see the graph on the next page, everyone

Telenor’s customer base because they subscribe to the youth

“born” in 1900 has been taken out.

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Proportions of Telenor mobile subsriptions per age and gender.

MEN

WOMEN

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Levels in data If you look at the illustration at the next page, you can see an overview of different levels nationally and over time. After having looked at the data graphically we decided to work with amount of phone calls over 365 days for Norway as a whole for our prototype. All of Norway and 365 days is the most logical foundation for an installation like this, because you can easily add more layers.

A Circular Structure In our sketching we explored different shapes, but the circle came back as a natural choice because of the focus on time and not geographical position.

N OT G E O G R A PH I C A L LY B O U N D One possible direction to take this prototype further for Telenor would be to display data from different places or countries. Being a company with customers in many countries, it’s relevant to have a shape that does not define a place.

T I M E I S R E PE TAT I V E Time repeats itself. After a minute another begins. After a day another begins. It’s a loop that begins over and over. Time is often displayed in a circle, and so is a year. It therefore made sense to have a circular shape in the back of our minds before we began prototyping.

SURROUNDING To make a engaging installation, we learned from our study trip to London that a surrounding structure that you could walk around and inside could engage more than displaying something flat on a wall. A circular structure could easily be made into something you can walk inside and around.

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31

28

31

JANUARY

FEBRUARY

Q4

EAST

MARCH

30

APRIL

31

MAY

Q3

NORTH 30

14

ØSTFOLD

18

TELEMARK

18

OSLO

1

HEDMAR K

22

OPPLAND

26

BUSKERUD

21

AKERSHUS

22

TROMS

24

NORDLAND

44

FINNMARK

19

SØR-TRØND ELAG

25

NORD -TRØND ELAG

23

VEST-AGDER

15

AUST-AGDER

15

SOGN OG FJORDANE

26

ROGALAND

26

MØRE OG ROMSDAL

36

HORDALAND

33

JUNE

ONE YEAR

31

VESTFOLD

NORWAY

JULY

MIDDLE

31

AUGUST

30

SEPTEMBER

31

30

Q2

SOUTH

OCTOBER

NOVEMBER

Q1 WEST

31

DECEMBER

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DATA & CO N C E P T

MOCKUPS

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M AT E R I A L S To prototype we began with testing light properties in a small scale, then did lightpainting in a large scale before we began prototyping with LED strips on different scales.

1. First, we made a rig that would allow us to freely change between LEDs to be tested with 10 LEDs at a time.

2,3 & 4. We then tested the LEDs at maximum light strength to see how easy they were to differ. With 10 mm white LEDs with a 4 cm distance in between they looked like one unit of light a few meters away, 10 LEDs became 1.

5. We then began testing with materials to diffuse the light and found that by using straws to extend the light it became easier to differ between the different LEDs. 6. Using straws as diffusers also gave us control over the light strength. With the straws, the light would be captures within and without the LEDs would light up the room quite a bit. If we were to upscale from 10 LEDs the room would become very bright without something to diffuse the light.

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3

5

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Circular Light Mockups We had ordered a 100 ballon LEDs where each was incapsuLED with a battery and a switch. This allowed us to build mockups freely with light, but without data and quickly without the hassle of wires.

We made a structure with the LEDs suspended in fishing wire from a circle in carton that was about 1 meter in diameter.

This fit perfectly with one person inside of it which is great for that person inside, but it excludes many people and limits the experience.

Having suspended lights that was dangling it was tempting to do lightpainting with it, taking pictures with a long exposure time. It was also valuable to pull the circle of lights up and down for the person standing inside of the ring. However, the lights would curl up which is impractical. We also wanted to be able to include more people inside of the circle.

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2

3

4

Light painting As pointed to in the previous section we wanted to include more than one person inside of the circle. To imagine a bigger scale and to see how information presented through light could look on a large scale and in different public spaces we made a light-painting device. This consists of a portable arduino that can be sewn onto anything along with 8 LEDs. The LEDs can blink in a predefined pattern to make letters or other visuals appear when you move it past a camera that takes an image with long exposure.

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5

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MOCKUPS

Neopixel LED Strip L I T T L E M I R AC L E Neopixels are adressable LEDs that can come in strips, circles asnd matrixes. The strips, which we were using, can be chained together to form a line of up to 5050 LEDs. B R I G H T N E SS Mapping data onto light brightness is limited to 255 different values in a single color when using Arduino or Processing which are the tools selected for this project. This means that the range is not wide enough for the data set thet we have for us to be able to map numbers precisely in light. This is especially because of the high spike on the 9th of September which makes the differences between days during the rest of the year minimal.

LO G A R I T H M I C PE R C E P T I O N Because humans perceive light logarythmically it means that it’s even more difficult to perceive small differences in light brightness. However, it works to support the visualisation, the 9th of September does really stand out But it’s not ideal to rely solely on brightness if we want the “pulse” of the rest of the year to be perceivable and be data precise at the same time.

S E R I A L CO M M A N D M O N I TO R For us to be able to work with data without having to write code, Hans Jakob Føsker wrote an arduino code making it easy for us to type in values in a serial command monitor. This became a valuable tool for us to rapidly do mockups with data. It allowed us to manually control the number of LEDs to be used, the individual brightness and blink rate in addition to having a random mode with colors.

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Scale mockup To be able to get a sense of the scale of the ring, we made a small mockup with a neopixel ring with 60 LEDs. We used scaLED figures of humans to see the ring in relation to the viewers. When working on thin scale we were also able to explore how the surrounding environment could look like.

We different tyoes of rooms, including a cube and a pyramid in mirror acrylic. We placed the ring and people inside, and the effect of this was that the visual experience became more striking and surrounding, however it did not add to the undersanding of the data, rather making it more confusing.

Although being an interesting exploration, we knew that the finished result should be able to be placed at different places, so we did not explore the surrounding environment any further.

We upscaLED a bit and made a ring large enough to put your head inside consisting of 52 lights, one for each week of the year. There was only room for one person, so it became an individual experience. The lights could convey information either by blinking or by varying in light intensity. However, the lights ended up being too close, and that made it hard to gain an overview of more than a small fragment of the circle at a time. We also saw that looking directly into the lights was stressing for the eyes, and it was hard perceiving differences in blinking frequency or light intensity.

Our main takeaways from this exploration was a confirmation that the neopixels were practical to use as light sources, and that we acheived the surrounding feeling that we wanted by making the structure circular. Since looking directly into the lights made it difficult to perceive differences in blink frequency and light intensity, we realised that we would have to add some sort of material for the light to travel through to solve this problem.

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X L R I N G + PE R S O N

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MOCKUPS

Kinetic pantyhose Mechanical and kinetic solution that stretches fabric to form graphs.

We looked at ways to add material around the light to make it easier to perceive the changes in the data.

Some of the ideas that we came up with was mechanical solutions, in which the amount of data was not necessarily defined by the light, but by changes in the material. Most of the ideas remained on the drawing board, exept for a concept in which we used elastic fabric wrapped around a noepixel ring. When the material was stretched it formed lumiescent graphs.

With this type of concepts we could either use the same light strength and let the fabric communicate amount of phonecalls or, in addition, have the lights change colors according to the changes in the data.

Going further with this type of concept would require a lot of servos pulling the fabric, and would be difficult to get as smooth running as we would like within the given time frame.

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W I T H DATA

We explored further how to give the light some extra structure to work within. We attached a ring with 30 lights a wall, representing one month worth of data. Here you can see the difference adding dividers between the lights makes. This perticular month was September, and you can clearly see the increase in activity on the 9th. With this concept we also tried to show each individual hour by making each light/day run through the data on an hourly basis,making a more dynamic display of lights.

By using the wall and dividers between the lights, making a structure for the light to work within, we were able to perceive the changes in light intensity much more clearly. However, attaching it to the wall made it a lot less three-dimensional, and not surrounding, so we had to find a way to bring what we had learned into a more spatial structure.

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Acrylic engraving A material that allowed for us to bring a structure for the light to work within was clear acrylic. Acrylic is already used in many installations for spreading light along one axis with only one light source.

With a transparent acrylic rod the light is visible throughout the rod, but it was difficult to read any differences in the data. The light came out on the other side.

Opaque surfaces on acrylic absorb more light than the glossy surfaces. We did a quick test and lasercut 12 square acrylic rods with different patterns on them to see if it would help our perception.

The acrylic rod on the far right with horizontal lines worked the best out of the 12 and we continued testing with this one.

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Logarithmic perception A LED goes from 0-225 in light intensity. Perfect example of logarithmic perception.

LO G A R I T H M I C -> E X P O N E N T I A L= L I N E A R When using neopixels to map brightness on a scale from 0 to 255 the brightness is perceived logarithmically. In practice this means that it’s not linearly perceived and differences in the data mapped in light in between the lowest and highest range looks the same. We then have to adjust for this with an exponential increase in brightness to give the impression of a linear gradient in brightness. (Diarmuid.ie, 2013)

EXPONENTIAL

LO G A R I T H M I C

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1

2

3

4

5

6

7

8

9

10

15

20

25

30

35

40

45

50

55

60

65

70

75

80

85

90

95

10 0

10 5

110

115

12 0

12 5

13 0

13 5

14 0

14 5

15 0

15 5

16 0

16 5

170

175

18 0

119

18 5

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19 0

195

200

205

2 10

205

2 10

2 15

220

225

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Light Intensity Up to this point in the testing we had not made a desicion as to if we would use blinking frequency or light intensity to show the differences in the data. We had already used blinking to show the call activity in our mini diploma, and it had worked for showing a few points on a map. However, in our testing we found that the differences in frequency became really difficult to grasp when you have multiple lights placed sequentially. For this reason we chose to go with light intensity to communicate amount of data.

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DECISIONS

We made the decision that the installation will not be an one-off. We wanted it to be a starting point for an installation that was modular, scalable and adaptable to different contexts and spaces. Because of this the installation is in theory possible to flat pack, “ikea style”, it’s suitable to different contexts, and the experience is adaptable both with data sets and with displays of information.

We use data from the CDR-data set on all phonecalls made by Telenor users aggregated on an hourly basis for every day throughout 2013.

The data will be shown by using light as a medium transmitted through acrylic rods.

All of this set ground rules for the following pages.

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Context Our demo has a couple of given contexts and several possible contexts. It will not be customized for one specific location. However the structure and its parts will be given, with exhibition guidelines for a setup that can have variations depending on context which will have to be decided on site.

1. T H E G A L L E R Y AT A H O For two weeks in the beginning of June at the AHO WORKS Diploma Exhibition.

2. TELENOR HQ FORNEBU After the AHO works exhibition Telenor will take over the structure with the aim to set it up at their headquarters at Fornebu.

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1 2

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Acrylic and light Acrylic is usually used for decorative purposes. However it can reveal details on edges and engavings when lit. It’s a material that carries light very well. For our prototype we believe that it has a suitable expression.

Telecommunication works with fiber optics that transfer light and acrylic has the same properties. One could say that the material reflects telecommunication in this way.

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Testing / building To get a sense of scale we made 365 styrofoam rods that were 30 cm high, that we attached to the floor in a circle with a diameter of 4 meters.

We explored with a closed circle first and then with different number of entrances. We added light to get a basic view and feel of the structure of the light.

To test the flow of movement through 4 entrances/exits we invited some of our co-students (as this was set up and taken down in an hour).

At first they were afraid to go inside, the styrofoam made it look really fragile and they were not sure if it was well attached to the floor. When we assured them that the rods were well attached they went inside and started playing around. However it still looked fragile and after some time someone asked if they could go ahead and break it. We hd finished testing and had to take it down, so we let them break it.

The conclusion here is that the materials we are using have to either look solid or look like something you want to take care of. The styrofoam is soft and tempting to break, so as a mock-up it works weel for structure but less well for testing with people.

The rods looked short as well and they could be upscaLED or lifted from the floor.

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Testing light on styrofoam structure.

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Material specs We made a list of requirements to help guide us when deciding on the materials to be used on the structure.

We wanted the light to be in focus, and the rest of the structure to take up as little visual space as possible. We also wanted it to be modular, thus adaptable to different places and data sets. For maintenance, the electronics had to be available for modifications and repairments. Lastly, the structure would have to have a balance in itself, not relying on a supporting structure, since we wanted it to be able to be anywhere.

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Structure / Divisions How many fragments will there be?

With the idea of a physical strucutre that is modular and could be used with different data-sets, the months as a measurement are too irregular. Months range from 28 days until 31.

And the 1st of May is always a different day of the week.

A week of 7 days is always 7 days. Saturdays and Sundays will always be the weekend. Because the data we are using comes from humans we can clearly see weekly patterns which a physical structure divided in weeks can emphasize. However weeks don’t fit evenly into months or the year. At the end of 2013, week 1 of 2014 begins. At the beginning of the year the week is only six days. This means that it’s necessary to make modular pieces of less than 7 days to be able to adapt the structure at the end and the beginning of the year.

To avoid a cage like feeling and to invite the audience inside the physical structure we can make entrances or openings in the physical structure to give it some air.

With one opening, there will only be one exit and it could limit the amount people that would like to go inside. With two openings there could be a clear entrance and a clear exit.

We would like to give the audience a chance to discover the installation in a non-linear way, and for them to feel like it is easy to get inside and easy to get out of the physical structure.Therefore we think it’s natural to have 4 openings. That way we can leave an opening between the beginning and the end of the year where we would have to make custom pieces in addition to openings every 3 months.

Also, if the audience is previously informed that they are seeing data from all of 2013, dividing the struvture into the four seasons makes it easier for them to navigate to specific months and time of year.

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Modules and joints We wanted for the final concept to be completely modular, but due to our limited time and production methods, the installation that will be on display will consist of just four pieces. However, we explored different ways of solving the modularity, with a focus on protecting electronics, making it as flexible as possible all the while keeping the clean and simple visual expression.

With angular endpoints the modules will be both flexible and appliaboe to a large structure as well as function on their own as freestanding weeks.

On the next page you can see sketches on joineries and modules.

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15mm

216mm

6mm

8mm

25mm 34mm

8mm 5mm

20mm

6mm

10mm

6mm

WIRES AND CONNECTIONS?

216mm

52

8

8

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PROTOTYPE

PRODUCTION

Once we had decided on the shape and expression that we wanted we had to make an assessment as to what materials we would use for the ring that was to be the base of the acrylic rods.

The choice fell on plywood poplar because of its high strength relative to its low weight. Poplar plywood is easy to lasercut, which was our preferred production metod because of its ability to produce a large quantum with extreme precision and details.

Technical details: Poplar Density (kg/m3) : 450 Dimension: A=(a+b)h/2 = (245+248)30/2 = 7345mm Each module has 5 layers

1 module= 0.09315kg 12 modules=1.1178kg 13 modules=1.21095 kg

Total weight of all 52 modules is=4.84kg

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PROTOTYPE

Technical details: Acrylic The acrylic was also laser cut. However, because of the high temperature the laser produce and the fact that plastic melt, the acrylic rods ended up being bent. This meant that we had to be consistent when it came to which side of the rods we would use abrasive blasting on. Later, when assembling we would also have to place the rods that bent in a similar way together to form the most consistent expression possible.

Density (g/cm3) : 1.1792 Dimension: 8x8x540 1 rod= 0,04 kg 90 rods= 3,6kg 91 rods= 3,64kg 92 rods= 3,68kg Total weight of all 365 rods= 14,6kg Total weight of installation is 4.84kg + 14.6 kg = 19.44kg

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PROTOTYPE

1. AC R Y L I C R O DS 2 . M A S K I N G R O DS

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Abrasive blasting of acrylic We tested the effect of abrasive blasting on the acrylic rods.

This was to give the light a surface to reflect upon, to be able to show different amount of light in a perceivable way.

We tested with different maskings, from stripes of different sizes to completely ebrasive blasting. Having stripes, other people would ask what it measured so the stripes were more confusing than helping. Abrasive blasting the rods completely meant that they would absorb too much light and the light wouldn’t spread upwards in the rod.

We tried varying amount of sides, but found that the blasting swallowed a lot of the light. We ended up with masking three sides of each of the 365 rods, and abrasive blasting of only one side, since it helped spread the light nicely without absorbing too much of it.

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Assembly

1. L A S E R C U T PA R T S 2 . G LU E TO G E T H E R

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3 . S PR AY PA I N T I N G 4 . A SS E M B L E D

Assembly of physical structure

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Hardware For the hardware aspect of the project we ordered 6 rolls, 30 meters of Neopixels. There’s 30 pixels per meter so that means we had 900 pixels in total. We used one roll of Neopixels for testing at a smaller scale which left us with 385 spare pixels, and 365 for the final prototype.

Each roll ( fig.2 ) was 5 meters with 150 pixels. We needed four strips, one for each quarter, approximately 90 pixels per quarter. That meant we had to cut them apart and resolder them with longer wires to be able to have space between the quarters. The spare pixels were well needed as some of them stopped working when soldering the strips together.

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Software The software part of the project was outsourced and written in processing and arduino. Arduino is a microcontroller, like a tiny computer, and Processing is often used for visualisations.

PR O C E SS I N G Nick Stevens wrote the code in Processing for us, sending data from the csv that we had gotten from Telenor to Arduino.

The highlight in the image above shows a variable in the code that we were able to manipulate and test with. The number 120 000 means that any value above that number will be displayed with maximum light strength at 255. The purpose of the sensitivity function is to be able to adjust the visual display in light. If the highest value, from 9th of September, which in this case is extremely high compared to all the other values were to be 255 and the others proportionally adjusted to that, all other lights would practically be off. So with the sensitivity function we are able to show the regular weekly patterns and still keep visibility of the 9th of September.

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ARDUINO Hans Jakob Føsker wrote the final code in Arduino for us. He made it so that Arduino could read value from processing onto the Neopixel LED strips. The highlight shows where we can control the amount of LEDs that we will display. For the final demonstration this is 365.

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Initial testing We did some initial testing with the Neopixels and the final structure of our prototype before the code with data was ready. Our plan was to use white light, but we got confirmed here that color worked well if we wanted to expand to that.

We also got confirmed that we were right about ebrasive blasting the acrylic rods on one side would work well at a larger scale.

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06:00

07:00

08:00

12:00

13:00

14:00

18:00

19:00

20:00

24:00

01:00

02:00

PROTOTYPE

FINAL DEMO

We did our final tests at the location where we built it, in the construction hall at AHO. This is also where we took the photos and video for the report, presentation and exhibition. Although an ad-hoc solution for displaying it, the locations roughness was a fascinating contrast to the lightness and fragility of the construction.

24 H O U R S Choosing the timing for the hours and assessing if a clock is needed.

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09:00

10:00

11:00

PROTOTYPE

15:00

16:00

17:00

21:00

22:00

23:00

03:00

04:00

05:00

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PROTOTYPE

“User Testing” Space restrictions limited our testing, but we were able to invite some people to come and see our prototype. One thing we noticed was that a lot of them ended up filming it with their smartphone. Making a “instagram” or “selfie”-worthy installation was one of our goals.

Some of the initial reactions without any introduaction or explanation to the installation was “It looks like a hologram from distance!”, “ Wow, the pattern, it’s so regular!” and “There are some days without lights here, why?”

There are large windows in the construction hall and the light from the prototype was reflected in the whole hall. It attracted people passing by the construction hall to stop and stare.

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Display of time The default of the installation displays 1 hour at a time for

changes, such as when people wake up later on the week-

5 seconds 24 times. Without any indication, at first glance,

ends it’s necessary with an indication of time to get a sense

the ones we’ve tested with immediatly discovers the weekly

of this. The visibility of a display showing time is important

regular pattern. There is a clear difference between night

to keep an audience from walking on top of it and hiding it.

time and day time, so after having looked at the installation

It should be minimal an strictly informal. Military Hours in

for a while, seeing it go through the 24 hours more than once

numbers from 00-23 is preferred as you can avoid the confu-

it is possible to recognize day and night. The overall changes

sion between night and day which could occur with a skeu-

are possible to perceive. When it comes to more detaiLED

morphic analog clock.

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D E M O : PR O J E C T I O N For the demo the time will be projected onto the floor in the middle of the installation. Projection is adaptable to new places and it’s very flexible towards the surface. It’s quick to adapt the speed of time and iterate on the position, and visual display to achieve the best communication and adaptation to changes in the installation’s code.

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Exhibition Guidelines The concept is that the installation is divided into weekly modules that needs to be assembLED into four parts.However for the demo of the installation it comes in four preassembLED parts with 365 acrylic rods that needs to be assembLED for an exhibition.

Depending on the exhibition location’s limits and possibilities towards suspension and time for setting up an exhibition we have set up some guidelines as for how set up can be done differently. The ideal is a suspended installation, but there are pros for doing it differently as well.

The exhibition space itself should be as dark as possible to achieve a greater effect of the lights.

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S U S PE N S I O N A suspended installation gives the feeling of a floating structure. The inside of the ring should be a zone with focus on the light, its behavior and time. Additional needed information should be kept outside of it.

Fishing line: Sufix monofilament 0.50mm / 19.5kg

When suspended the lowest point should be 1.40 cm which makes it go up to 2 meters counting with the acrylic rods. That way it is within the height of the head of most adults.

Cables, wires, arduino and computer should go be kept above the installation so thet the space underneath the installation is completely open.

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PROTOTYPE

ON POLES Lifting the structure up on poles should give a feeling of a floating structure, however if you touch it it will be rigid. Poles allows us to run cables inside and hide them on the floor.

They should have a dark color to be less visible.

With poles the height can be controlLED. The lowest point should be between 50 cm and a meter.

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PROTOTYPE

ON THE GROUND When the installation is set on the floor indoors the floor can be used as an informational surface for the acrylic rods.

Because of the large diameter of the ring and the height of the acrylic rods it is easy to read the light differences in the installation even when it’s on the floor. The installation should however never lie directly on the floor, but be elevated 10 cm to make it possible to run cables underneath.

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Non-linear narrative The narrative around the installation is non-linear. By this we mean that there will be information, there will be an experience, but the order of this and the amount of information will vary between viewers. The following are different possible information points in an experience of the installation in an order that is not given.

PR I M I N G Q U E S T I O N Intriguing questions, e.g.: When do you think Norwegians make the most cell phone calls during a year?

Because the installation is modular, which means that the shape of the installation does not communicate what kind of data is behind, we will use a IDLE MODE

priming question. This is to trigger a reflection

The installation is in idle mode at a distance trying

around the topic of the data in the installation and

to pull potential audiences close with its light.

make people think about their preconceptions of the patterns in the data. Because of the actual

Someone sees it, it looks interesting enough to

patterns in the chosen data set, and based on our

approach it. Information is accessiblie beforehand

research on people’s preconcetptions we believe

in writing or audio. When there’s no audiences

that we will be able to challenge their preconcep-

around the installation will after 30 minutes run in

tion when revealing the data visually.

idle mode. It will show show a “breathing” pattern in the lights, as to indicate that it’s not broken or

The priming can happen at the location of the

off, just waiting for someone to come.

installation or elsewhere, before or when it is set up digitally or on paper in e.g. a cafeteria.

We also don’t want to reveal everything from a distance, but let the experience and understanding of what this is about grow as you come closer.

S U M M A R Y O F CO N C E P T “This is an installation that physically depicts with light the national daily patterns of phone calls I D L E M O D E : V I S UA L C U E

made by Telenor’s 2.1 million customers in all of

The installation is shows something different.

2013.”

Every five minutes when in idle mode the installa-

It’s important to inform the audience what this

tion can run through a cycle of data visualising to

installation is about in order for them to be able

show from a distance that this is more than a big

to read the data.

acrylic chandelier.

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O U T S I D E T H E I N S TA L L AT I O N R I N G What an audience doesn’t know.

Presentation of special dates during the year. + likely events (found on the internet) on what has affected our phonecalls. These should be present-

I N S I D E T H E I N S TA L L AT I O N R I N G

ed as a guess to what have affected the data and

Focus on showing the data in light with as little

be differed from the specific dates.

additional visual noise as possible.

The inside of the ring should give an overall impression of the weekly rhythms in the data with certain

PA R T I C I PAT I O N

days standing out. The inside only communicates

Recording presumptions - Ask the audience to

the data, it’s pattern in light and the orientation

record their presumption (in whatever way is given)

towards time. Knowing where the year starts and ends.

By recording and collecting people’s presumptions it gives us the opportunity to up the engagment level of the audience and make them into participants.

This data can be recorded to be siplayed during

D E TA I L - PR E V I O U S PR E CO N C E P T I O N S

the installation or at a later stage. It is relevant to

What did others that were here before me think?

have it during the installation, but we do not want to reveal most people’s presumptions before new

At a more detaiLED level we can present quotes

paritcipants have given theirs. It might be possi-

from people we have asked earlier on preconcep-

ble to show at the backside of the installation.

tions. Showing when someone are right in saying

Therefore it might be interesting to collect it to

that we call a lot on new years eve, and that we

be displayed at a later stage. However we cannot

don’t call a lot during the holidays contradictory to

control the experience and make it a linear one.

common beliefs.

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PROTOTYPE

Flow The final construction has 4 openings. We have looked at how they can be used and how the flow of people might work through it. In the four following examples there’s four entrances to the ring and four entrances to its’ confined space.

The lights are visible from the outside, makes people move

The entrance is visible from the outside, makes people move

around it, to the extra space around entrance which makes it

around it, to the extra space around entrance which makes it

easier for more people to go in and out.

easier for more people to go in and out.

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The entrance angle is not straight, possible to walk right

Opening leads audience to entrance of the circle, trying to

through. it’s easy to take a circle around one quarter and

lead people inside of the circle instead of walking around.

leave out the same as you came in. By not having an opening

Easy to walk right through.

in the circle right in front of the entrance to the room, you have to follow the sides to get inside of the circle.

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Functioning prototype This is the final functioning prototype. It shows amount pf phone calls per day over 24 hours. The image shows daytime which is bright. It spends 2 minutes displaying 24 hours, but this is fully modifiable.

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Reflection This diploma project had three aims ; (1) understanding what are the building blocks for a successful graphical display of data, (2) exploring an interesting and complex data set without the application of big data analytics, and (3) building a full scale physical prototype of a light installation displaying data.

The road to Illuminating Data has been long and it has been as much about understanding data as a material as understanding our role: where, when and with what can we contribute with as designers. We got valuable experience with working with a collaboration partner in a multidisciplinary tech team.

From the beginning we aimed at selecting a data set to work with in depth for the whole diploma project. But not having worked with data sets before it was necessary to spend a lot of time familiarizing ourselves with big data sets, sorting data sets and information.

We are really satisfied with being able to see the project through, from no experience with working with big data to making a fully functional large scale prototype.

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References Ahn, SJ 2011, Embodied experiences in immersive virtual environments: effects on pro-environmental attitude and behavior, Ph.D dissertation, Standford University Available from: <https://vhil.stanford.edu/pubs/2011/ahn-embodied-experiences.pdf> Anon, 2015. [online] Available at: <https://snl.no/telenett> [Accessed 9 May 2015].

Belcher, M 2015, Glug London presents - Super Bold Max (at Fabric London), 77a Charterhouse Street, London, EC1M 6HJ, 12 March Deviceanalyzer.cl.cam.ac.uk, 2015. Device Analyzer for Android. [online] Available at: <http://deviceanalyzer.cl.cam.ac.uk/collected.htm> [Accessed 9 May 2015].

Diarmuid.ie, (2013). PWM Exponential LED Fading on Arduino (or other platforms). [online] Available at: https://diarmuid.ie/blog/pwm-exponential-LED-fadingon-arduino-or-other-platforms/ [Accessed 11 May 2015].

Dunmall, G, Fraser, M, Ingram, T, & 2015 Kuitert, F “Event is Now”, Frame, January/February, p. 130-145 Granovet ter, M 1983, ‘The Strength of Weak Ties: A Network Theory Revisited’ in Sociological Theory, Vol. 1, pp. 201-233, Wiley Available from: <http://www. jstor.org/stable/202051> Hall, J 2015, Inspiring Tech Talks @ Cisco CREATE: proudly presenting Jon Hall, Director of Linux International, UTC Hackney, Basing Place, 10 March Hirchmann, D 2015, Glug London presents - Super Bold Max (at Fabric London), 77a Charterhouse Street, London, EC1M 6HJ, 12 March Howard, T 2015, Glug London presents - Super Bold Max (at Fabric London), 77a Charterhouse Street, London, EC1M 6HJ, 12 March Infovis-wiki.net, (2015). Lie Factor - InfoVis:Wiki. [online] Available at: http://www.infovis-wiki.net/index.php?title=Lie_Factor#Example_1: [Accessed 11 May 2015].

Labs, N. 2015) OpenPaths. [online] Openpaths.cc. Available at: <https://openpaths.cc/projects> [Accessed 9 May 2015].

McLeod, S. (2015). Visual Perception | Simply Psychology. [online] Simplypsychology.org. Available at: http://www.simplypsychology.org/perception-theories. html [Accessed 11 May 2015].

MIT Senseable Cities, 2015 Available from:<http://senseable.mit.edu> [29 March 2015] Nkom,2015, Mobilkommunikasjon fullstendig dominerende i Norge - Available at: <http://www.nkom.no/aktuelt/nyheter/mobilkommunikasjon-fullstendigdominerende-i-norge> [9 May 2015].

Panzarino, M. 2015. Empathy Machines. [online] TechCrunch. Available at: <http://techcrunch.com/2015/03/14/snapchat-meerkat-and-the-empathy-machine/> [Accessed 9 May 2015].

Reilly, K 2013, Theatre, Performance and Analogue Technology, Palgrave Studies in Performance and Technology Telenor Group, 2015. Digital frontrunners help us predict the future. [online] Available at:< http://www.Telenor.com/media/articles/2013/digital-frontrunnershelp-us-predict-the-future/> [Accessed 9 May 2015].

Till, C 2015, Glug London presents - Super Bold Max (at Fabric London), 77a Charterhouse Street, London, EC1M 6HJ, 12 March Tufte, E 1983, The Visual Display of Quantitative Information, Graphics Press Tufte, E 1990, Envisioning Information, Graphics Press Tufte, E 2006, Beautiful Evidence, Graphics Press Turkle, S 2012, Alone Together, Basic Books UVA, 2015, About, Available from:<http://uva.co.uk/about> [29 March 2015] Wakefield, J 2015, BBC gives children mini-computers in Make it Digital scheme, Available from: <http://www.bbc.com/news/technology-31834927> [15 march 2015] Waldermeyer, M,2015, Glug London presents - Super Bold Max (at Fabric London), 77a Charterhouse Street, London, EC1M 6HJ, 12 March

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Digital appendix For photos of the process, go to: www.illuminatingdata.tumblr.com and type in the password: Telenor For documentation and summaries of our theoretical research, questionnaires, videos and work with data it is uploaded with a link to a dropbox folder, named Digital Appendix.

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Thank you To everyone who helped make this project possible we are very grateful.

THE TELENOR TEAM Thomas Couronne Johannes Bjelland Pål-Roe Sundsøy Taimur Qureshi Juwel Rana Geoffrey Canright O U R S U PE R V I S O R S Mosse Sjaastad Einar Sneve Martiniussen Nick Stevens AND Jan Anders Ekroll Hans Jakob Føsker Per Johan Sandlund Torgeir Tysse Haugen Jane Pernille Landa Hansen Daniel Jackson Aida Babaii Per Herigstad Mari Herigstad Alexandre Chappel Peik Elias Greaker Lucinda Baggett Nathan Cohen Tim Murray-Browne Tricia Austin Xavier Llarch Font Everyone who works at the laser cutter at AHO Our families and friends for support.

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A diploma project by Mona Kleven Lauritzen and Ingrid Herigstad in Interaction Design 路 The Oslo School of Architecture and Design Spring 2015 Report 3.indd 176

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